Academic literature on the topic 'Preventive condition-Based maintenance'
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Journal articles on the topic "Preventive condition-Based maintenance"
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Mann, Lawrence, Anuj Saxena, and Gerald M. Knapp. "Statistical‐based or condition‐based preventive maintenance?" Journal of Quality in Maintenance Engineering 1, no. 1 (March 1995): 46–59. http://dx.doi.org/10.1108/13552519510083156.
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Su, Hongsheng. "Preventive Maintenance Model Analysis Based on Condition." International Journal of Security and Its Applications 8, no. 4 (July 31, 2014): 353–66. http://dx.doi.org/10.14257/ijsia.2014.8.4.32.
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Neugebauer, R., J. Fischer, and M. Praedicow. "Condition-based preventive maintenance of main spindles." Production Engineering 5, no. 1 (September 24, 2010): 95–102. http://dx.doi.org/10.1007/s11740-010-0272-z.
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S. Su, H., and Y. Q. Kang. "CONDITION BASED PREVENTIVE MAINTENANCE CONTROL STRATEGY DESIGN." International Journal on Smart Sensing and Intelligent Systems 7, no. 3 (2014): 967–1003. http://dx.doi.org/10.21307/ijssis-2017-690.
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Liu, Yao Jun, Shi Zhong Ji, and Hua Pu Chen. "Development of Transmission Line Condition-Based Maintenance System Based on Expert System." Advanced Materials Research 988 (July 2014): 710–14. http://dx.doi.org/10.4028/www.scientific.net/amr.988.710.
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At the moment preventive maintenance is the main approach in maintaining power transmitting lines. While along with the improvement of equipment and management, the drawbacks of preventive maintenance appear more and more prominent. In the file the function and the structure of the system of status maintenance for power transmitting lines based on expert system is presented.
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Wei, Shuaichong, Mustapha Nourelfath, and Nabil Nahas. "Condition-based Maintenance Optimization of Degradable Systems." International Journal of Mathematical, Engineering and Management Sciences 7, no. 1 (January 22, 2022): 1–15. http://dx.doi.org/10.33889/ijmems.2022.7.1.001.
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This paper develops a mathematical model for condition-based maintenance optimization of multi-state systems. The majority of the existing literature on maintenance optimization assume that there is no additional cost incurred because of side effects of equipment degradation. Nevertheless, as the operating cost increases with equipment age and degradation, it is important to consider the degradation side effects in the maintenance decision-making process. An important feature of the proposed model lies in the fact that it incorporates side effect of degradation process into condition-based preventive maintenance optimization. We develop a continuous-time discrete-state Markov chain model describing the deterioration stochastic process of a single component. The component is modeled as a multi-state system, where each discrete state is characterized by a degradation level. Numerical examples show the importance of considering such side effect costs when optimizing the choice of maintenance policy. The proposed model is extended to deal with multi-state series systems. Using an example of a series system with two components, it is shown that preventive maintenance and side effect costs should not be optimized for each component individually, but from the perspective of the series system as a whole.
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Vale, Cecília, and Isabel M. Ribeiro. "RAILWAY CONDITION-BASED MAINTENANCE MODEL WITH STOCHASTIC DETERIORATION." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 5 (October 10, 2014): 686–92. http://dx.doi.org/10.3846/13923730.2013.802711.
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The application of mathematical programming for scheduling preventive maintenance in railways is relatively new. This paper presents a stochastic mathematical model designed to optimize and to predict tamping operations in ballasted tracks as preventive condition-based maintenance. The model is formulated as a mixed 0–1 nonlinear program that considers real technical aspects as constraints: the reduction of the geometrical track quality over time is characterized by the deterioration rate of the standard deviation of the longitudinal level; the track layout; the dependency of the track recovery on its quality at the moment of the maintenance operation; the limits for preventive maintenance that depend on the maximum permissible train speed. In the model application, a railway stretch with 51.2 km of length is analysed for a time period of five years. The deterioration model is stochastic and represents the reduction of the standard deviation of the longitudinal level over time. The deterioration rate of the standard deviation of the longitudinal level is simulated by Monte Carlo techniques, considering the three parameters Dagum probabilistic distribution fitted with real data (Vale, Simões 2012). Two simulations are performed and compared: stochastic simulation in space; stochastic simulation in space and time. The proposed condition-based maintenance model is able to produce optimal schedules within appropriate computational times.
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Krit, Makram. "General Independent Competing Risks for Maintenance Analysis." Stochastics and Quality Control 37, no. 2 (November 25, 2022): 117–26. http://dx.doi.org/10.1515/eqc-2022-0029.
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Abstract Repairable systems are submitted to corrective maintenance and condition-based preventive maintenance actions. Condition-based preventive maintenance occurs at times which are determined according to the results of inspections and degradation or operation controls. The generalization of the models suggested makes it possible to integrate the dependence between corrective and preventive maintenances. In order to take into account this dependency and the possibility of imperfect maintenances, generalized competing risks models have been presented in Doyen and Gaudoin (2006). In this study, we revise the general case in which the potential times to next corrective and preventive maintenance are independent conditionally to the past of the maintenance process. We address the identifiability issue and we find a result similar to that of Zhou, Lu, Shi and Cheng (2018) for usual competing risks. We propose realistic models with exponential risks and derive their likelihood functions.
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Wang, Jingjing, Qingan Qiu, Huanhuan Wang, and Cong Lin. "Optimal condition-based preventive maintenance policy for balanced systems." Reliability Engineering & System Safety 211 (July 2021): 107606. http://dx.doi.org/10.1016/j.ress.2021.107606.
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Galamboš, Róbert, Jana Galambošová, Vladimír Rataj, and Miroslav Kavka. "Design of Condition-Based Decision Support System for Preventive Maintenance." Acta Technologica Agriculturae 20, no. 1 (March 1, 2017): 19–22. http://dx.doi.org/10.1515/ata-2017-0004.
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Abstract Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.
Dissertations / Theses on the topic "Preventive condition-Based maintenance"
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Goguen, Paul J., and Scott J. Purcell. "A cost analysis for life-cycle preventive maintenance, administrative storage, and condition-based maintenance for the U.S. Marine Corps medium tactical vehicle replacement." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/38936.
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Approved for public release; distribution is unlimited.This study provides a cost-based analysis of preventive maintenance and administrative storage for the U.S. Marine Corps medium tactical vehicle replacement (MTVR). In the years 19952013, the Marine Corps acquired approximately 8,750 MTVRs as overseas obligations increased. As the current conflicts wind down and the Marine Corps returns to lower force levels, the Marine Corps will see excess capacity in its MTVR fleet. This study begins the process of finding a solution to managing this excess capacity. Based on net present value analysis for various combinations of continued preventive maintenance and storage of excess vehicles over their life cycle, this studys findings contribute to determining the most cost effective method of handling the Marine Corps MTVR fleet.
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Häggblom, Hanna. "Tillståndsbaserat underhåll på verktygsmaskiner : Utvärdering av det tillståndsbaserade underhållet på verktygsmaskiner hos Volvo Cars i Skövde och hur det kan utvecklas." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10178.
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Företag kan använda sig av olika strategier för underhåll. Det kan vara avhjälpande underhåll som utförs först när ett fel uppkommer eller förebyggande underhåll. Ofta används en kombination av båda. Det förebyggande underhållet kan vara förutbestämt eller tillståndsbaserat. Fördelar med att använda sig av tillståndsbaserat underhåll är exempelvis att utbyte av enheter inte behöver ske i onödan utan först när en observation visar att ett fel är på väg att ske. Vid val av förebyggande underhåll kan RCM-metoden användas för att utröna vilka feltillstånd som kan uppstå och som orsakar funktionsfel. Val av förebyggande underhåll kan baseras på fakta om nya tekniker, felhistorik samt vilken utrustning och kompetens som finns tillgänglig. Volvo Cars i Skövde använder sig just nu av i stort sett likadant förebyggande underhåll på nya verktygsmaskiner som på gamla. Företaget använder sig av tillståndsbaserat underhåll på vissa komponenter och enheter. Det består då främst av inspektioner, subjektiva tillståndskontroller, och vibrationsövervakning på motorspindlar. Genom intervjuer framkommer att nya tekniker sällan införs och att lagda planer sällan ändras. Företaget är dock medvetet om att nya tekniker för tillståndsbaserat underhåll finns och är intresserat av att undersöka om ett utökat tillståndsbaserat underhåll är lämpligt på verktygsmaskiner. De tillståndsbaserade teknikerna som det talats om är främst ballbarmätning, övervakning av processparametrar och geometrisk verifiering. Ett underlag för att se om nya tekniker bör införas togs fram genom datainsamling av felhistorik på maskiner. Avgränsning gjordes genom att en fem år gammal bearbetningslinje för cylinderhuvuden studerades. Genom sortering av data från haverier ur underhållssystemet Maximo från de senaste åren och prioritering genom Paretoprincipen visade det sig att återkommande haverier på kulskruvar finns. Till komponenten finns ett tillståndsbaserat underhåll kopplat, den inspekteras en gång om året. Det är dock sällan som fel på komponenten upptäcks på inspektionen, bara fyra av tjugosju bytta kulskruvar de senaste fem åren är bytta efter anmärkning från inspektion. Genom att kartlägga komponentens haverier på femton verktygsmaskiner och när FU gjorts hittades flera förbättringsmöjligheter. Kostnaden för att byta kulskruv när väl fel uppstått är upp till tio gånger så stor jämfört med att byta den förebyggande. När fel uppstått har det medfört kassationer av producerade detaljer och lång stilleståndstid. Motiv för att införa ett bättre förebyggande underhåll finns därför framför allt i minskade kostnader och ökad tillgänglighet. Företaget rekommenderas att införa ballbarmätning som ett nytt tillståndsbaserat underhåll. Detta för att öka den objektiva kontrollen av mekaniska slitdelar. Mätmetoden är inte helt okänd för företaget och relativt lätt att införa. Den subjektiva kontrollen som görs idag bör göras om för att bättre fånga begynnelse till fel. Kontrollen kräver idag en hel del driftstoppstid vilket gjort att den inte utförts i tid och bör därför kortas ner. Företaget rekommenderas också att undersöka nya metoder för förebyggande underhåll kontinuerligt. Idag finns ingen anställd med uppdraget och för att utveckla underhållet måste företaget hålla sig uppdaterade på nya tekniker.A company can use different strategies when performing maintenance. One strategy is corrective maintenance where maintenance is carried out after a failure has occurred. Another strategy is preventive maintenance. A combination of the two is often used. The preventive maintenance can be predetermined or condition based. Advantages with the condition based maintenance are e.g. that the replacement of parts can be planned according to observations indicating there’s an increasing risk of failure. When choosing preventive maintenance, the RCM method can be used to determine risk of failure modes and the cause of function failures. Decisions regarding the preventive maintenance should be based on knowledge in new techniques, history of failures and the equipment and competence available. Volvo Cars in Skövde is doing more or less the same preventive maintenance on machine tools regardless of whether it’s a new or old machine. The company is using condition based maintenance on some of the components and units. Mostly it consists of human inspections, a subjective control of the machine’s condition, and spindle vibration analysis. Through interviews it has been determined that new techniques are rarely implemented and that the decided maintenance plan for a machine is rarely changed. The company is aware of the development of new techniques for condition based maintenance and wants to investigate whether it is appropriate to evolve their condition based maintenance on machine tools. The techniques further investigated are measurement with Ball bar, monitoring of process parameters and geometrical verification. To make accurate decisions regarding the implementation of new techniques, a data collection of the history of frequent failures was done. To limit the amount of data a five year old processing line was studied. Data from the maintenance system Maximo was sorted by long failures from the recent years and by prioritizing with the Pareto principle it showed the recurring failures of ball screws. The component do have a condition based maintenance activity today, there is an inspection once a year. However, the inspection is rarely able to predict or find a failure on the ball screw. Four out of twenty-seven ball screws with fault have been changed after inspection over the last five years. By mapping the components failures on fifteen machine tools and when preventive maintenance has been done, several options for improvements were found. The cost of the replacement of a ball screw when a failure has already occurred is as much as ten times the cost of replacement before failure. This is caused by cost of scrap and long down time. A new, improved preventive maintenance task is therefore highly justified. The motif is both reducing the scrap cost related to failure and with increased availability. The company is recommended an investment in Ball bar as a new method for condition based maintenance. It should be used to increase the objective control of the mechanical parts of a machine tool. The method is not totally new for the company and relatively easy to implement. The current subjective control on the machine tools should be revised to increase the probability of finding degradation of functions. Today the activity takes rather long time and has therefore not been done in time, it should be shorter. The company is also recommended to investigate new methods for preventive maintenance continually. Today there is no employee with that mission and to evolve maintenance, the company has to be updated on new techniques.
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Maran, Marcos. "Manutenção baseada em condição aplicada a um sistema de ar condicionado como requisito para sustentabilidade de edifício de escritórios." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3146/tde-12122011-142917/.
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O impacto do Homem sobre a Terra, desde a extração intensiva dos recursos da natureza, extinção das espécies, emissões para o ar e água, consumo de energia e água até as mudanças climáticas do planeta, exigem medidas de contenção e preservação do meio ambiente. O futuro da humanidade é questionado e algo deve ser feito. Nesse contexto surge o conceito de desenvolvimento sustentável. Responsável pelo consumo de 40 a 50% da matéria-prima mundial, 12% da água e 40% das emissões de gases de efeito estufa, a indústria da construção possui importante papel na mitigação dos efeitos nocivos para o meio ambiente e capacidade de atingir altos índices de sustentabilidade. Dentro do ciclo de vida de uma edificação, a fase de Operação/Uso provoca grandes consequências ao meio ambiente e oferece grandes oportunidades de redução dos efeitos adversos. Nessa fase as atividades de manutenção predial acabam por ter seu valor reconhecido. As diversas estratégias de manutenção, em especial a manutenção preventiva baseada em condição, colaboram efetivamente para a durabilidade, desempenho e função da edificação e seus sistemas prediais. Procedimentos de manutenção estão associados à baixa qualidade do ar. A manutenção de sistemas de ar condicionado tem especial destaque devido às consequências para a saúde, bem-estar e produtividade dos ocupantes do edifício.Due to extensive extraction of natures resources, extinction of species, emission of gases into the atmosphere, water and power consumption, to climatic changes of the planet, mankinds impact on earth requires containment and preservation of the environment. The future of humanity is being questioned and something must be done. Responsible for the consumption of 40 to 50% of raw materials worldwide, 12% of water and 40% of emissions of gases into the atmosphere causing the greenhouse effect, the construction industry has an important role in alleviating the adverse impacts on the environment and the ability to achieve high sustainable levels. Within the lifecycle of a building, the phase of operation/use causes significant environmental consequences but also offers opportunities to alleviate adverse effects. In this phase, the value of building maintenance activities has been recognized. The various strategies for maintenance, principally preventive condition- based maintenance should collaborate effectively towards the durability, performance, function and systems of a building. Air-conditioning maintenance procedures are associated with poor air quality. The maintenance of air-conditioning systems has a special significance due to the effects on health, well-being and productivity of the occupants of the building.
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Raymond, Théodore. "Système de surveillance conditionnelle de turbines éoliennes déployable à l'échelle d'une flotte industrielle." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT060.
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Notre objectif est de proposer un système de surveillance conditionnelle adapté à la maintenance d’une flotte de parcs éoliens.Nous adoptons une approche à base de résidus générés par des modèles de bon fonctionnement, appris sur des données SCADA acquises pendant des périodes sans défaut.Ces modèles prédisent l’évolution de la température des composants d’une nacelle d’éolienne dans le but de détecter des défauts à l’aide de résidus thermiques.Afin de générer des résidus dont les variations sont facilement interprétables par les opérateurs, nous faisons le choix d’utiliser des modèles simples, linéaires et statiques, composés d’un faible nombre d’entrées.Pour pouvoir déployer le système de surveillance à une flotte éolienne, celui-ci il doit pouvoir être appliqué à tout élément de la flotte d'éolienne considérée sans nécessité d'adaptation de la méthode, et tout en conservant des performances en détection acceptables.Par conséquence, les modèles sur lesquels s’appuie la création du résidu sont appris de manière automatique, à partir de données SCADA d’entrainement, afin de pouvoir être générés simplement pour tous les composants de n’importe quelle turbine d'une flotte d'éoliennes.La première partie de notre travail de recherche consiste ainsi à proposer une méthodologie de génération automatique de modèles linéaires et statiques par application d'un algorithme de sélection des variables d’entrée guidée par les données.Nous proposons plusieurs stratégies de détection de défaut dont nous comparons les performances selon un cahier des charges défini : l’une n’utilisant qu’un seul modèle linéaire et statique et l’autre combinant l’information issue d’un ensemble de modèles. Ces modèles simples permettent de générer des résidus adaptés à la détection de défaut et respectant les critères de performances en détection d’une application industrielle.A l’issue de cette analyse comparative, une stratégie de surveillance conditionnelle respectant le cahier des charges défini a été retenue : celle fondée sur la décision de détection majoritaire de l’ensemble de résidus générés à partir de ces modèles.Les modèles appris à partir de données enregistrées sur un parc éolien d’une certaine technologie peuvent être appliqués en conservant les mêmes performances de détection sur des parcs dont les éoliennes proviennent de la même technologie. Ce résultat permet de rendre l’analyse des résidus plus simple pour les opérateurs.Le processus de surveillance conditionnelle proposé a été implanté parmi les outils d'exploitation de l'entreprise au sein de laquelle les travaux de thèse ont été réalisés, et appliqué à la surveillance de la totalité des technologies turbine de sa flotte.Cette application en temps réel a permis la détection de plusieurs défauts en développement, qui ont pu être pris en charge par le service de maintenance de l'entrepriseOur aim is to propose a condition monitoring system adapted to the maintenance of a fleet of wind farms.We adopt an approach based on residuals generated by good operation models, learned from SCADA data acquired during fault-free periods.These models predict the temperature evolution of wind turbine nacelle components, with the aim of detecting faults using thermal residuals.In order to generate residuals whose variations can be easily interpreted by operators, we have chosen to use simple, linear and static models, composed of a small number of inputs.In order to be able to deploy the monitoring system to a wind fleet, it must be possible to apply it to any element of the wind fleet considered, without the need to adapt the method, and while maintaining acceptable detection performance.Consequently, the models on which the residual is based are learned automatically, from SCADA drive data, so that they can be generated simply for all components of any turbine in a wind turbine fleet.The first part of our research work thus consists in proposing a methodology for the automatic generation of linear and static models by applying a data-driven input variable selection algorithm.We propose several fault detection strategies whose performance we compare according to defined specifications: one using a single linear and static model, and the other combining information from a set of models. These simple models are used to generate residuals suitable for fault detection and meeting the detection performance criteria of an industrial application.At the end of this comparative analysis, a conditional monitoring strategy meeting the defined specifications was selected: that based on the majority detection decision of the set of residuals generated from these models.Models learned from data recorded on a wind farm of a certain technology can be applied with the same detection performance to wind farms with turbines of the same technology. This result makes residual analysis simpler for operators.The proposed conditional monitoring process was implemented among the operating tools of the company where the thesis work was carried out, and applied to the monitoring of all the turbine technologies in its fleet.This real-time application led to the detection of several faults under development, which were then taken over by the company's maintenance department.Translated with DeepL.com (free version)
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Semotam, Petr. "Prediktivní systém údržby obráběcích strojů s využitím vibrodiagnostiky." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382193.
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This diploma thesis concerns issues of predictive and condition based maintenance system of machine tools with using a vibrodiagnostics. It studies and researches its impacts through the basic processes of the maintenance system and characterizes the vibration diagnosis as its tool and mean. There is also described a process of putting condition based maintenance into practice in the practical part of the thesis. The development is realized at Siemens Ltd. Brno with all its requirements and aspects such as a maintenance audit which means the decision on the suitability of condition based maintenance within the current maintenance system, technical analysis as a part of introduction of vibration diagnosis and the practical example of acquiring, recording and assessment of measured vibration. Prior to the end the economic evaluation of the planned predictive maintenance system and the design of the general model of development and implementation of the maintenance system into practice are included.
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Canal, Luiz Antonio. "Proposta de um método para priorização de investimento em monitoramento instrumentado contínuo de equipamentos dinâmicos aplicado em planta petroquímica." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6770.
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A busca pela maior segurança industrial em plantas petroquímicas tem sido a pauta principal deste tipo de negócio, já que a possibilidade de acidentes é potencializada pela própria natureza da operação, que envolve inventários inflamáveis, combustíveis ou tóxicos. Muitos dos iniciadores destes eventos advêm de mau funcionamento de seus equipamentos dinâmicos, como motores, bombas e compressores, com causas ligadas a manutenção, operação ou projeto. Neste contexto, é proposto neste trabalho um método para a implantação de melhorias e projetos direcionados para o monitoramento contínuo de equipamentos dinâmicos. O objetivo é de aumentar a segurança industrial e a disponibilidade dos equipamentos, já que o contínuo monitoramento dos equipamentos permite uma melhor supervisão dos mesmos, além de fortalecer a manutenção preventiva baseada em condição. Será apresentada a solução focando no monitoramento de temperatura e vibração em mancais, que normalmente são foco da maior parte das falhas em equipamentos dinâmicos. Inicia-se pela escolha do método para priorização da implantação, baseado em análise multicritério e análise de risco, passando pela proposição e definição dos critérios, culminando com a exemplificação do trabalho em uma planta petroquímica real. Como resultado tem-se uma matriz de risco para apoio na priorização de investimento em monitoramento contínuo, agregando ainda simulações de análise de sensibilidade para a tomada de decisão.
The search for greater industrial safety has been the main guideline in petrochemical business, since the most of accidents are potentiated by the own nature of the operation, which involves flammable, combustible or toxic inventories. Many of the initiators of these events arise from the malfunction of their dynamic equipment, such as motors, pumps and compressors, with causes related to maintenance, operation or design. In this context, it is proposed a method for the implementation of improvements and projects directed to the continuous monitoring of dynamic equipment. The main objective is to increase the industrial safety and the availability, since the continuous monitoring allows a better supervision of the dynamic equipment, besides strengthening the application of condition based maintenance policy. The solution will be presented focusing on the monitoring of equipment temperature and vibration, which indicate of most failures or a situation of non-appropriated operation. This work starts with determining the method to prioritize the implementation, based on multicriteria and risk analysis, explain the criteria and their definition, culminating with the exemplification of the work in a real petrochemical plant. As a result, a risk matrix is presented for support in the prioritization of investment in continuous monitoring, also adding sensitivity analysis simulations for decision making.
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Hsuan-FuWang and 王宣復. "Condition-based Preventive Maintenance System for PCB Drilling Machines." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31034069909289996470.
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StevanWijaya and 張飛勇. "Condition-based Preventive Maintenance with a Yield Rate Threshold for Deteriorating Repairable Systems." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3yn936.
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Dao, Cuong D., B. Kazemtabrizi, C. J. Crabtree, and P. J. Tavner. "Integrated condition-based maintenance modelling and optimisation for offshore wind turbines." 2021. http://hdl.handle.net/10454/18409.
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YesWind Energy published by John Wiley & Sons Ltd. Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition-based maintenance has attracted much attention in the offshore wind industry in recent years. This paper models various maintenance activities and their impacts on the degradation and performance of offshore wind turbine components. An integrated maintenance strategy of corrective maintenance, imperfect time-based preventive maintenance and condition-based maintenance is proposed and compared with other traditional maintenance strategies. A maintenance simulation programme is developed to simulate the degradation and maintenance of offshore wind turbines and estimate their performance. A case study on a 10-MW offshore wind turbine (OWT) is presented to analyse the performance of different maintenance strategies. The simulation results reveal that the proposed strategy not only reduces the total maintenance cost but also improves the energy generation by reducing the total downtime and expected energy not supplied. Furthermore, the proposed maintenance strategy is optimised to find the best degradation threshold and balance the trade-off between the use of condition-based maintenance and other maintenance activities.
UK Engineering and Physical Sciences Research Council (EPSRC). Grant Number: EP/P009743/1
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Fonseca, Pedro José Batalha da. "Manutenção Preventiva das Infraestruturas de Fibra Ótica da EDP Distribuição." Master's thesis, 2017. http://hdl.handle.net/10316/83341.
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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e TecnologiaA EDP Distribuição é o Operador de Rede de Distribuição, responsável pela distribuição de energia elétrica em Portugal Continental. Com o fim de garantir os níveis de continuidade e qualidade de serviço, obrigatórios por lei, realizou um forte investimento na implementação de uma rede privativa de fibra ótica para suporte dos sistemas de telecomunicações, possibilitando assim o controlo e supervisão das suas instalações técnicas como Subestações (AT/MT) e de Órgão de Corte de Rede de Média Tenção, a partir de uma gestão centralizada. Este passo, foi uma grande mais valia para flexibilidade e fiabilidade da rede de distribuição elétrica.Este trabalho teve como principal motivação, a construção de um modelo de cálculo para a Manutenção Preventiva Sistemática da infraestrutura de fibra ótica de um Operador de Rede de Distribuição, a EDP Distribuição, baseada numa politica de manutenção Condition Based Risk Maintenance (CBRM).Tendo como base as metodologias existentes e as que ainda se encontram em fase de desenvolvimento relativas à gestão de ativos técnicos, foram identificados os fatores mensuráveis que influenciam os cabos de fibra ótica, e criado um modelo heurístico para aferir o Índice de Saúde e a Probabilidade de Falha, de uma forma real e exequível.Com o objetivo inicial de criar um plano de Manutenção Preventiva Sistemática baseado na condição e no risco, foi realizado um levantamento e tipificada a criticidade afeta a cada ligação de fibra.Após recolha dos indicadores inerentes ao Índice de Saúde, à Probabilidade de Falha e à criticidade, foi possível criar um modelo matemático, recorrendo à Teoria dos Grafos, para implementar uma politica de manutenção baseada em CBRM, que reflete de forma eficaz o estado atual, e permite prever o estado futuro do ativo técnico em causa.
EDP Distribuição is the Distribution Network Operator, responsible for the distribution of electricity in mainland Portugal. In order to guarantee the levels of continuity and quality of service, legally required, it made a strong investment in the implementation of a private fiber optic network to support telecommunications systems, thus enabling the control and supervision of its technical installations as Substations (HV/MV) and Medium Voltage Remote Switchgear, from a centralized management. This step was a great improvement to the flexibility and reliability of the electrical distribution network.This project had as main motivation, the development of a calculation model to the Systematic Preventive Maintenance of the fiber optic infrastructure of a Distribution Network Operator, the EDP Distribuição, based on a Condition Based Risk Maintenance (CBRM) maintenance policy.Based on existing methodologies and those still in the development phase related to the management of technical assets, were identified measurable factors that influence the fiber optic cables were identified, and was created a heuristic model to get the Health Index and the Probability of Failure, in a realistic and workable way.With the initial objective of creating a Systematic Preventive Maintenance plan based on the condition and the risk, a survey was carried out and typified the criticality that affects each fiber connection.After gathering the indicators inherent to the Health Index, Failure Probability and Criticality, it was possible to create a mathematical model, using Graph Theory, to implement a CBRM based maintenance policy, that effectively reflects the current state, and allows to predict the future state of the technical asset in question.
Book chapters on the topic "Preventive condition-Based maintenance"
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Bustos, Alejandro, Higinio Rubio, Cristina Castejon, Enrique Soriano-Heras, and Juan Carlos Garcia-Prada. "Towards Digitalizing Rolling Stock Maintenance." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering, 418–24. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_61.
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AbstractThe advent of Industry 4.0 has revolutionised the way in which all aspects of a product or service are approached, and the railway sector is moving toward the adoption of this new paradigm. Maintenance in railways is traditionally based on a preventive approach that replaces parts at regular intervals or when a failure occurs. However, the 4.0 revolution implies the use of new strategies based on condition monitoring and predictive maintenance for moving towards Maintenance 4.0. In this work, the creation of a digital twin that helps in the adoption of new technologies is established. The proposed digital twin covers the trailer bogie of a high-speed train and is composed of three models: a 3D geometrical model, a finite element model and a multi-body model. These three models provide the initial information about the dynamic performance of the bogie that should be completed with feedback from the actual bogie operating in the real world.
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Gangwani, Pranav, Santosh Joshi, Himanshu Upadhyay, and Leonel Lagos. "AI-Based Anomaly Detection on IoT Data-Driven Thermal Power Plants for Condition Monitoring and Preventive Maintenance." In Artificial Intelligence in Cyber Security: Theories and Applications, 83–97. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28581-3_8.
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Peng, Hao. "Condition-Based Maintenance." In Analyzing Risk through Probabilistic Modeling in Operations Research, 292–320. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9458-3.ch012.
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Condition-Based Maintenance (CBM) is one type of preventive maintenance policy. CBM has attracted lots of attentions of both academia and industry due to the development of advanced sensor technology and measurement devices. The proper implementation of CBM can reduce the frequency of random failures and the expected cost of maintenance during the lifecycle of a system. In this chapter, a brief overview of different maintenance strategies is first provided for the readers who are not familiar with maintenance optimization models. Then several elementary models about CBM will be introduced to help the readers get a general idea of the optimization models in this field.
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Wiboonrat, Montri. "Condition-Based Maintenance for Data Center Operations Management." In Operations Management - Emerging Trend in the Digital Era [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93945.
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This chapter presents data center operations management by giving four case studies of power distribution systems (PDS) of data centers (Tier I, Tier II, Tier III, and Tier IV). The four topologies of PDS have defined by the design of single points of failure and redundant equipment and systems. The concepts of Mean Time between Failures (MTBF) and Mean Time to Repair (MTTR) apply during PDS design for reduced system downtime. Moreover, MTBF and MTTR use for estimating system availability of each Tier classification. Human factors consider as critical part of data center operations that need to quantify and qualify on knowledge and skills such as certified levels. For sustainable data center operations, the new software for data center operations called Data Center Infrastructure Management (DCIM) has deployed for monitoring and controlling entire system operations that interact among system of systems and human interfaces by deployed condition-based maintenance (CBM) as preventive and predictive conditions. Moreover, CBM performs as long-term cost saving for total cost of ownership (TCO) and energy efficiency.
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Erbiyik, Hikmet. "Definition of Maintenance and Maintenance Types with Due Care on Preventive Maintenance." In Maintenance Management - Current Challenges, New Developments, and Future Directions [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106346.
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In this chapter maintenance concept is defined and maintenance types are classified with regard to implementing maintenance policies toward preventive maintenance. Especially achieving planned maintenance policies toward preventive (planned) maintenance and condition based maintenance policies toward predictive maintenance is taken into consideration primarily. Maintenance concept is defined and maintenance types are classified. Due care is given for ‘Preventive Maintenance’ in this chapter. In general ‘Maintenance’ term could be defined as; The integration of all possible technical and administrative actions, including planning, supervising, monitoring and controlling toward retaining an item, a system, a machine to restore their original functional state in which they can perform the intended functions. In addition maintenance, include protective and corrective actions to keep the plant operational system in intended conditions or to maintain the acceptable manufacturing conditions. Optimum maintenance policies aims to sustain system reliability and robustness within minimum cost. In line with the progress of industry, increase in the system, material and manpower costs, increasing demand for robustness and the complex structure of the machines increases also the importance of maintenance policies. Maintenance types could be divided into two main parts namely; 1. Preventive Maintenance, 2. Corrective Maintenance. Preventive Maintenance is also classified into following sub groups; 1.a- Planned Maintenance, 1.b- Predictive Maintenance, 1.c- Advanced Maintenance Implementations; 1.c.1 Reliability Centered Maintenance 1.c.2 Risk Based Maintenance. All of these maintenance types elaborated with relevant figures in the chapter. In this chapter Comparison of Planned and Unplanned (corrective) Maintenance (With regard to transaction and output) is defined with a table. Additionally, Comparison of Planned and Unplanned (corrective) Maintenance (With regard to infra structure) is also tabulated. ‘Benefits of Preventive & Predictive Maintenance’ and ‘Predictive Maintenance Methods’ are defined with relevant descriptive figures in the chapter. For Corrective Maintenance, basic definitions and corrective maintenance steps, types of corrective Maintenance, improvement strategies in corrective maintenance effectiveness are also given. In the final part of ‘Results and conclusions’ expected and verified benefits of implementing maintenance policies for planned and predictive maintenance are explained. Comparisons in some maintenance policies is given.
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Strebkov, Dmitry, Alexey Nekrasov, and Anton Nekrasov. "Maintenance of Power Equipment System Based on the Methods of Diagnosis and Control of Technical Condition." In Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development, 421–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3867-7.ch018.
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Maintenance of the power equipment system is based on the industry standard of averaged volumes of standard maintenance and repair of power equipment, frequency and duration of the preventive measures, the nomenclature and consumption of materials and spare parts to perform operations. One of the more efficient uses of electrical equipment is to improve its maintenance system through the development and implementation of service strategies for the actual condition. The work proved the necessary conditions for the realization of electric service strategy on defining the main diagnostic parameter. The general mathematical model is proposed to implement the service strategy. The model is based on a study of basic parameters using random monotone normal type of process and diagnostic controlled parameter with three discrete product states (working, the state of preventive actions, and failure) and continuous operating time. The results of studies of the new techniques development for improving the operation of electrical systems are presented.
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Bal, Alperen, and Sule Itir Satoglu. "Mathematical Optimization Models for the Maintenance Policies in Production Systems." In Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems, 252–68. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2944-6.ch012.
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This chapter initially presents a brief information about production systems. At these systems, different types of maintenance policies are developed to cope with wear out failures. Mainly used maintenance policies can be classified as corrective, preventive, and condition-based maintenance. In the corrective maintenance, repair or replacement is applied whenever components of the machine breakdown. In the preventive maintenance approach maintenance activities are applied to the critical components on a periodic basis. On the other hand, maintenance activities are applied whenever critical reliability level is reached or exceeded. These types of maintenance policies are modeled using mathematical modeling techniques such as linear programming, goal programming, dynamic programming, and simulation. A review of current literature about the mathematical models, the simulation-based optimization studies examining these maintenance policies are categorized and explained. Besides, the solution methodologies are discussed. Finally, the opportunities for future research are presented.
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Darendeliler, Alp, Dieter Claeys, and El-Houssaine Aghezzaf. "Integrated Production/Inventory and Condition-Based Maintenance Control of a Multi-Item Production System Under Stochastic Demand." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230032.
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This paper studies the joint production/inventory and condition-based maintenance control for a multi-product manufacturing system with setup and maintenance times under stochastic product demands. The problem is modelled as a semi-Markov decision process (SMDP). The objective is to find a joint production and maintenance policy that minimizes the long run expected discounted cost including setup, holding, lost sales, preventive and corrective maintenance costs. A Q-learning method with state aggregation (QLA) is proposed to find near-optimal policies for large-scale problems that cannot be solved to optimality due to the curse of dimensionality. The numerical results show that QLA provides well-performing policies in a reasonable computational time.
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Enshaei, Nastaran, Amin Hammad, and Farnoosh Naderkhani. "A Comprehensive Review on Advanced Maintenance Strategies for Smart Railways." In Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains, 433–57. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9570-0.ch020.
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Recently, energy efficient and sustainable supply chain has attracted a great deal of attention. To achieve sustainability, it is of paramount importance to use environmentally friendly procedures in each stage of the supply chain including suppliers, production/manufacturing, and transportation. Transportation plays a critical role in supply chain since the suppliers and customers are typically distributed in large geographical areas. Nowadays, railway is considered as a primary mode of transportation. Railways are considered as complex systems that are subject to degradation and failures. To avoid failures, tremendous efforts should be invested on preventive maintenance (PM) for performing optimal maintenance actions. Proper PM actions such as condition-based maintenance (CBM) play a major role in keeping the supply chain from crumbling down and working with high efficiency. This chapter reviews promising research works in the application of state-of-the-art CBM strategies that contribute to the advancement of smart transportation system via fault diagnostics/prognostics.
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Ceglie, Marco, Fabio Ferrante, and Giuseppe Giannino. "Employing Artificial Neural Network for Process Signal Estimation in the Monitoring of Smart Shipboard Diesel Engine Systems." In Progress in Marine Science and Technology. IOS Press, 2023. http://dx.doi.org/10.3233/pmst230013.
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The increasing complexity of vessels’ facilities and systems, the high economic impact of maintenance costs, and the need for high reliability and efficiency have led to a growing interest in condition-based maintenance (CBM). In this contest, machine learning (ML) has proven to be a powerful tool in approaching CBM tasks, as it can handle high-dimensional and multivariate data and extract hidden relationships within them in complex and dynamic environments. Here we propose a diagnostic model for monitoring the state of marine diesel engines and their components through the analysis of process parameters and ML tools. The model employs an artificial neural network (ANN) to estimate the optimal engine parameter value for normal condition operation. Deviations between measured real-time signals and optimal estimated values are used as indicators of potential faults, facilitating early detection and prevention. The calibration and performance evaluation of the diagnostic model are conducted on simulated fault data generated through GT-Power simulation tool. This approach to engine monitoring may overcome some limitations of ML algorithms based on supervised models, which rely on historical data containing information about anomalous activities or faults that are often not available.
Conference papers on the topic "Preventive condition-Based maintenance"
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Bates, Preston, Treven Baker, Mark Davis, James Cycon, Nate Bordick, Paul Pantelis, and Bruce Thompson. "Capability-Based Operations and Sustainment Aviation (COST-A) Technology Development." In Vertical Flight Society 71st Annual Forum & Technology Display, 1–14. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10193.
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The U.S. Army traditionally has used a time-based, on-condition maintenance paradigm that relies on at-aircraft inspections and periodic in-depth phase inspections to determine condition and ensure airworthiness. The result is a significant maintenance burden, both scheduled and unscheduled, and excessive aircraft downtime. The objective of the Aviation Development Directorate-Aviation Applied Technology Directorate (ADD-AATD) and Sikorsky Aircraft Corporation (SAC) Capability-Based Operations and Sustainment Technology-Aviation (COST-A) project was to develop and demonstrate an integrated set of high value diagnostics, prognostics, and system health management technologies that reduce scheduled inspections and preventive maintenance while enhancing safety. More than two dozen Prognostics and Health Management (PHM) technologies across six primary rotorcraft systems (propulsion, drive train, airframe/structural, rotor, electrical, and vehicle management) were matured to TRL-6. These technologies were integrated into a prototype laboratory on-board system built around the Integrated Vehicle Health Management Unit (IVHMU) currently installed in all UH-60 Black Hawk aircraft and successfully demonstrated to perform concurrently in representative simulated flight scenarios, using playback data from healthy and faulty components. These PHM technologies can enable the Army to transition to a condition-based maintenance (CBM) paradigm. This paper summarizes the overall Validation and Verification (V&V) approach, demonstration results, and additional details of technologies that demonstrated the most promise for near-term transition. COST-A work is on-going to further mature a subset of these technologies through flight testing.
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Brookhart, Andrew, Chris Lyman, Mark Davis, Preston Bates, Jim Cycon, Treven Baker, Nathaniel Bordick, Paul Pantelis, and Bruce Thompson. "Flight Test Preparation of Health Management Technologies." In Vertical Flight Society 72nd Annual Forum & Technology Display, 1–10. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11474.
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The U.S. Army traditionally has used a time-based, on-condition maintenance paradigm that relies on at-aircraft inspections and periodic in-depth phase inspections to determine condition and ensure airworthiness. The result is a significant maintenance burden, both scheduled and unscheduled, and excessive aircraft downtime. The objective of the Aviation Development Directorate (ADD) and Sikorsky Aircraft Corporation (SAC) Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program was to develop and demonstrate an integrated set of high value diagnostics, prognostics, and system health management technologies that reduce scheduled inspections and preventive maintenance while enhancing safety. More than two dozen Prognostics and Health Management (PHM) technologies across six primary rotorcraft systems (propulsion, drive train, airframe/structural, rotor, electrical, and vehicle management) were matured to technology readiness level (TRL) 6. These technologies were integrated into a prototype laboratory on-board system built around the Integrated Vehicle Health Management Unit (IVHMU) currently installed in all UH-60 Black Hawk aircraft and successfully demonstrated to perform concurrently in representative simulated flight scenarios, using playback data from healthy and faulty components. A subset of these technologies, jointly selected by ADD and SAC, has been prepared for an upcoming flight test on a UH-60M aircraft to further reduce the risk of transitioning these technologies. This paper summarizes the flight-test preparation efforts, including the implementation of associated algorithms within a representative integrated on-aircraft and ground-based system software environment. Upon deployment to the UH-60 aircraft fleet, these PHM technologies can enable the Army to transition to a condition-based maintenance (CBM) paradigm.
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Brookhart, Andrew, Chris Lyman, Mark Davis, Preston Bates, Jim Cycon, Paul Pantelis, Treven Baker, and Nathaniel Bordick. "Flight Testing of Health Management Technologies." In Vertical Flight Society 73rd Annual Forum & Technology Display, 1–13. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12080.
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The U.S. Army traditionally has used a time-based, on-condition maintenance paradigm that relies on at-aircraft inspections and periodic in-depth phased inspections to determine condition and ensure airworthiness. The result is a significant maintenance burden, both scheduled and unscheduled, and excessive aircraft downtime. The objective of the Aviation Development Directorate (ADD) and Sikorsky Aircraft Corporation (SAC) Capability-Based Operations and Sustainment Technology-Aviation (COST-A) program was to develop and demonstrate an integrated set of high value diagnostics, prognostics, and system health management technologies that reduce scheduled inspections and preventive maintenance while enhancing safety. More than two dozen Prognostics and Health Management (PHM) technologies across six primary rotorcraft systems (propulsion, drive train, airframe/structural, rotor, electrical, and vehicle management) were matured to technology readiness level (TRL) 6. These technologies were integrated into a prototype laboratory on-board system built around the Integrated Vehicle Health Management Unit (IVHMU) currently installed in all UH-60 Black Hawk aircraft and successfully demonstrated to perform concurrently in representative simulated flight scenarios, using playback data from healthy and faulty components. A subset of these technologies, jointly selected by ADD and SAC, was flight tested on an HH-60M aircraft to further reduce the risk of transitioning these technologies. This paper summarizes the flight-test efforts, with a focus on results obtained for the technologies under test. Upon deployment to the UH-60 aircraft fleet, these PHM technologies can enable the Army to transition to a more effective automated condition-based maintenance (CBM) paradigm.
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Xiaonian, Liu, and Wang Liangsheng. "Transition From Time–Based Preventive Maintenance to Condition–Based Maintenance." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66757.
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An optimized maintenance strategy is being pursued in the nuclear power industry, so as to reduce the maintenance cost and improve equipment reliability. Transition from time-based preventive maintenance (TBM) to Condition-based Maintenance (CBM) or Predictive Maintenance (PdM) is being set as a site initiative by different utilities. This paper analyzes the key elements a plant should focus on to achieve a successful CBM transition; discusses the implementation steps and matters needing attention for the pilot project of CBM transition; and depicts precursors for CBM such as CBM equipment scope screening, equipment failure history collection, failure mode and degradation mechanism analysis, monitoring parameters and frequency setting, CBM result evaluation, and CBM planning. The paper also discusses the impacts and challenges of CBM transition campaign to the existing production scheme.
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Hao, Qi, Yunjiao Xue, Weiming Shen, Brian Jones, and Jie Zhu. "A Decision Support System for Integrating Corrective Maintenance, Preventive Maintenance, and Condition-Based Maintenance." In Construction Research Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41109(373)47.
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Baldo, L. "Condition-based-maintenance for fleet management." In Aerospace Science and Engineering. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902677-9.
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Abstract. New “enlightened” and holistic maintenance strategies are shaping the industrial world from the inside, providing intelligent and focused solutions where high availability, reliability and safety are required. Maintenance planning and scheduling is an extremely daunting and multi-faceted task which involves competences from fairly different fields: customer support, quality, engineering, production, RAMS, cost estimation etc. In the aerospace sector, a significant percentage of Life Cycle Costs (LCCs) and, in particular, operating costs, are determined by Maintenance, Repair and Overhaul (MRO) activities and the relative asset unavailability due to down-time or turn-around-time [1,2]. This is the reason why currently there is an ongoing intense effort in the research community and in the industry towards new maintenance strategies which could overcome the limitations of preventive maintenance thus streamlining operations, without jeopardizing mission safety. This research project is hence spot on and focuses on the development of optimized maintenance strategies, built around the system health status.
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Xie, Jun, and Hongwei Wang. "Joint Optimization of Condition-Based Preventive Maintenance and Spare Ordering Policy." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.1468.
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Xu, Mengkai, Md Noor-E. Alam, and Sagar Kamarthi. "A Modified Dynamic Programming Model in Condition-Based Maintenance Optimization." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-3065.
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In condition-based maintenance, preventive replacement threshold and inspection scheme play important roles in maintenance performance. Major research considers cost as the main objective for measuring maintenance performance; here the average cost per unit time is used as the only objective in a single-unit system. The intention of this study was to investigate that how the average cost per unit time varies through changing replacement threshold and inspection scheme, the aim is to simultaneously determine an optimal replacement threshold and inspection scheme. The heterogeneity of hazard rate over stages of the equipment entails less frequent inspections when the equipment is at a healthy condition and more frequent inspections when the equipment is at a progressively deteriorated condition. Therefore the proposed condition-based inspection in the present work is non-periodic. A method based on dynamic programming is developed in order to implement a condition-based inspection scheme; furthermore the threshold for preventive replacement and the inspection scheme are simultaneously determined and then the optimal average maintenance cost is obtained.
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Yang, Dezhen, Haochen Wang, Yi Ren, Qiang Feng, Bo Sun, Zili Wang, Dongming Fan, and Xing Su. "Condition-Based Preventive Maintenance Optimization Approach for Multiple Industrial Robotics with Stochastic Mission." In 2019 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2019. http://dx.doi.org/10.1109/rams.2019.8769025.
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Hilferty, Edward L. "Condition Based Maintenance, Life Cycle Management, and Autolog." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38730.
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Condition Based Maintenance (CBM) was instituted by the United States Navy in a policy outlined in OPNAV INSTRUCTION 4790.16 dated 6 May 1998. The goal is to move from time-directed preventive maintenance to condition-directed maintenance. It is hoped this will optimize readiness while reducing maintenance and manning requirements. The concept is that use of sensors, algorithms, and automated reasoning and decision making models to monitor equipment operations will provide critical analyses to operators that will help prevent impending failure. Red flags to operators allows maximization of maintenance effort that will focus limited resources to areas most needed to ensure safety and mission readiness while simultaneously minimizing operating costs (O & S), labor, and risk of mission degrading failures (Hedderich [3]). For the U.S. Navy, there is a large chasm to bridge between vision and reality. CBM technology is being slowly tested and integrated. But testing, modifying and back fitting all the Navy’s critical systems with CBM technology will be long term and costly and will be constantly faced with the dilemma of having just integrated one technology as it is being replaced by newer ones. In the mean time, more focus could be paid to possible interim phases that could be more quickly and cheaply integrated and still move the Navy forward in utilizing CBM technology. Autolog is such an effort and is offered here as an application and process to gather more real time data needed for CBM from one source that can be quickly and easily provided to distant engineering support activities for Gas Turbines systems while also easing record keeping and data transmittal requirements for the fleet.
Reports on the topic "Preventive condition-Based maintenance"
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Goguen, Paul, and Scott Purcell. A Cost Analysis for Life-Cycle Preventive Maintenance, Administrative Storage, and Condition-Based Maintenance for the U.S. Marine Corps Medium Tactical Vehicle Replacement. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada612997.
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