Relevant bibliographies by topics / Machinery - Maintenance and repair

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  2. Dissertations / Theses
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Academic literature on the topic 'Machinery - Maintenance and repair'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Machinery - Maintenance and repair"

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Mishina, Z. "Standards recommended for farms and repair enterprises with the period of their use in 2018-2020." Normirovanie i oplata truda v sel'skom hozyajstve (Rationing and remuneration of labor in agriculture), no. 2 (February 1, 2020): 35–39. http://dx.doi.org/10.33920/sel-06-2002-03.

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Based on the results of the work of agricultural enterprises of the Russian Federation for 2017 (data from annual reports), an analysis of the state of the fleet of machines was carried out. The age composition of the available equipment is revealed. The analysis of material and technical equipment of repair shops of farms, expenses of financial resources for repair and maintenance of equipment is made. The share of agricultural machinery repairs carried out in specialized repair enterprises is determined. A draft of standards for planning the repair of agricultural machinery has been developed.
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ALSUHAIBANI, SALEH A. "Farm Machinery Breakdown Classification – Seed drills." JOURNAL OF ADVANCES IN AGRICULTURE 6, no. 1 (April 30, 2016): 813–21. http://dx.doi.org/10.24297/jaa.v6i1.5389.

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Work job orders for 196 seed drills collected by HADCO (Hail Agricultural Development Company), Saudi Arabia, were used in this study. The work job orders were classified in terms of the parts used and the cost of each item. Distribution of repair and maintenance as listed in the work-job orders was classified as repairs by 55% while 45% was found to be maintenance. Moreover, Classification of repair and maintenance for parts of seed drills was 66% for rapair jobs and 34% for manitinance jobs. Cost ratio term was developed, by dividing the repair or maintenance cost by the seed drill purchase price. The results indicate that the average cost ratio was affected by annual working area. Also repair and maintenance cost decreased as increasing the number of seed drills every year, and due to the increasing number of working area, the costs increased after about 430 ha/year.
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Skibchyk, V. I., and L. I. Shapoval. "Conceptual provisions of the strategy of adaptive maintenance and repair of mobile agricultural machinery." Mehanization and electrification of agricultural, no. 12 (2020): 147–55. http://dx.doi.org/10.37204/0131-2189-2020-12-17.

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Annotation Purpose. Improving the efficiency of the use mobile agricultural machinery by substantiating the rational terms of its maintenance and repair, taking into account changes in its technical condition from seasonal loading, natural-production and agrometeorological conditions of use. Methods. System analysis and synthesis, induction and deduction, system-factor and system-event approaches, graphic, statistical. Results. The conceptual provisions of strategy adaptive maintenance and repair mobile agricultural machinery are revealed, as well as its advantages over the known approaches to the organization of repair and maintenance works are marked. The regularities of seasonal loading of mobile agricultural machinery in farms of different natural-production zones of Ukraine analyzed. A generalized algorithm of the strategy of adaptive maintenance and repair of mobile agricultural machinery has been developed. Conclusions 1. It’s established that the main factors that determine the need for maintenance and repair of equipment are its residual life and operating time, and the factors that determine the possible periods of maintenance and repair of equipment – natural-production and agrometeorological characteristics of the agricultural producer. Predicting the impact of these factors on the processes of using mobile agricultural machinery is the basis for justifying the rational timing of its maintenance and repair. 2. The formation of strategy adaptive maintenance and repair of mobile agricultural machinery based on statistical simulation of the processes of seasonal use of machinery by agricultural producers. Such a model should take into account the natural-production characteristics of the agricultural producer, the characteristics of its technical support, agrometeorological conditions and generate technical and economic indicators of many possible options for adaptive plans for seasonal maintenance and repair of each unit. 3. It’s established that the criterion for substantiation of a rational seasonal adaptive plan for maintenance and repair of mobile agricultural machinery is the minimum total cost of implementing the relevant strategy. The total cost of funds should take into account the cost of maintenance and repair of machinery, the cost of potential crop losses caused by late performance of mechanized agricultural work machinery due to its incapacity, and cost due to underutilization of technical resources. Keywords: rational terms, maintenance, repair, algorithm, strategy, mobile agricultural machinery.
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Dorokhov, Aleksey S., Aleksandr V. Denisov, Aleksey A. Solomashkin, and Valeriy S. Gerasimov. "Strategies of maintenance and repair of agricultural machinery." Tekhnicheskiy servis mashin, no. 3 (August 20, 2020): 38–48. http://dx.doi.org/10.22314/2618-8287-2020-58-3-38-48.

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Modern machines are subject to progressive wear that occurs at different rates, which leads to unpredictable failures that reduce the reliability and durability of machines. The strategy of maintenance and repair is aimed at eliminating these problems. (Research purpose) The research purpose is in analyzing the basic principles of the strategy of maintenance and repair of agricultural machinery in order to ensure control of the technical condition of machine parts. (Materials and methods) When resource diagnostics is used, , the allowable value of the parameter is set in advance for a part . This value is the tolerance that corresponds to a certain wear rate of the part. The tolerance is set based on the condition that if the current value of the controlled resource parameter during the next diagnosis is less than the set value, then such a part at the current value of the wear rate can be finalized until the next inter-control check. Taking into account the wear rate of the same type of parts from the group when determining the allowable wear during their resource diagnostics becomes an urgent task. (Results and discussions) As a result of research, the article presents "Methodology for determining the main indicators of reliability of parts of agricultural machines with different wear rates" and "Methodology for determining the tolerance system of parts of agricultural machines with different wear rates". (Conclusions) The article presents the tolerance system that reduces the probability of failure of machine parts in operation. During resource diagnostics, those parts whose resource parameters exceed the tolerance are rejected.
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Kovalyev, L. I., I. L. Kovalyev, and M. N. Kostomakhin. "Calculation of the salary and key provisions of the methodology for determining the total costs of technical service of machinery and equipment in animal husbandry." Glavnyj zootehnik (Head of Animal Breeding), no. 11 (November 1, 2021): 66–74. http://dx.doi.org/10.33920/sel-03-2111-07.

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The initial data for calculating the basic salary are: the labour intensity of carrying out maintenance and repair of machinery and equipment in animal husbandry, as well as hourly tariff rates for workers in workshops and areas for the repair of agricultural machinery and tools, which are accepted directly in farms and repair and maintenance organizations independently, but not lower than the tariff rate has been established for budget organizations. The purpose of the work was to calculate the basic salary of personnel according to the tariff categories used in the Republic of Belarus, and to consider the key provisions of the methodology for determining the total costs of technical service of machinery and equipment in animal husbandry. The most important provisions of the methodology for calculating the basic salary of personnel of repair and maintenance departments and organizations operating in the livestock subcomplex of the Agro-industrial complex of the Republic of Belarus have been presented. The main points of the methodology for calculating the total costs of maintenance and repair for machines and equipment of livestock farms and complexes have been given in relation to the conditions and their own features of accounting and planning of repair and maintenance work in domestic animal husbandry. An example of practical calculation of costs for carrying out various types of maintenance and repair of a widely used domestic milking machine has been considered.
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YALYNA, O. "DIAGNOSTICS AND TECHNOLOGICAL MAINTENANCE OF AGRICULTURAL MACHINES USED IN AGRICULTURAL COMPLEX." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 295, no. 2 (May 2021): 123–26. http://dx.doi.org/10.31891/2307-5732-2021-295-2-123-126.

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The article considers the current state of the system of maintenance and repair of agricultural machinery, shows the analysis of the existing system and its impact on the economic efficiency of production in the agro-industrial complex. The current state of instrumentation, electronics and computer technology can significantly increase and expand the possibilities of both diagnosing and forecasting based on it. The combination of these capabilities with the progress of agricultural machinery ensures its reliable, highly productive and economical operation. It is established that of great importance in the production of crop and livestock products is the qualified use of agricultural machinery, including its diagnosis, maintenance and technological maintenance and repair. The quantity and quality of the received production, its competitiveness, labor costs, fuel consumption and degree of influence on environment depend on quality and timeliness of carrying out service – diagnostics at technical and technological service. Improving the use of agricultural machinery and reducing the cost of its operation provides the use of technical diagnostics of machines as an information basis for the management of maintenance and repair processes. The practice of using diagnostic tools indicates the possibility of reducing operating costs. This is achieved by increasing the actual resource used, reducing the number of repairs and saving spare parts. To effectively apply existing diagnostics and development of new, engineering and technical workers of agricultural enterprises must have knowledge that reveals the fundamental side of the diagnosis. Measures of preventive influences which provide maintenance of necessary indicators of reliability and working capacity of cars during time of use are executed on a scientific basis, practical use and research of processes of wear and other deviations of details are developed.
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Toigambayev, S., N. Martinova, K. Shavazov, and N. Telovov. "Justification of the methods of material and technical maintenance and repair of agricultural machines." Journal of Physics: Conference Series 2176, no. 1 (June 1, 2022): 012089. http://dx.doi.org/10.1088/1742-6596/2176/1/012089.

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Abstract This work substantiates the rational structure of the repair and maintenance base of agricultural machinery, methods for determining the needs for material and technical means, taking into account the appropriate proportions between the links of the repair network. The maintenance and restoration of the operability of tractors and other agricultural machines in sufficient limits is ensured, as is known, with the help of a system of maintenance and repair, which provides for the implementation of preventive maintenance operations and the conduct of routine and major repairs of machines in a planned manner. The established system of maintenance and repair, the creation of a material and technical basis for its implementation, as well as a continuous process of improving the qualifications of machine operators and repair personnel, contribute to the effective use of equipment in agriculture. At the same time, there are significant disadvantages in the use of tractors and agricultural machines. The analysis of the results of numerous studies of VIMa, ChIMESXa and other organizations made it possible to identify and systematize the loss of time due to machine downtime. In particular, machine downtime for regulated maintenance is 10-15% of the shift time, for technical malfunctions - from 5-8% for plowing, up to 30% for harvesting crops. The volume of work on the repair of cars in the country as a whole is more than 2 times higher than the standard. The efficiency of maintenance and repair of machines largely depends on the level of the material and technical base of these works - the availability of modern equipment and tooling, industrial buildings, warehouses, and other structures, inventories, means of transport and communications.
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MISHINA, ZOYA. "ORGANIZATIONAL AND TECHNOLOGICAL PRINCIPLES FOR CREATION INNOVATION CENTERS." Tekhnicheskiy servis mashin 4, no. 141 (December 2020): 40–46. http://dx.doi.org/10.22314/2618-8287-2020-58-1-40-46.

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Timely conducting of all types of maintenance and routine repairs is possible only in the conditions of an innovative service center, equipped with the necessary equipment and having a complex of facilities to ensure favorable conditions for technical service. (Research purpose) The research purpose is in identifying opportunities for updating the technical service system in the agro-industrial complex by creating innovative service centers to ensure highly efficient operation of agricultural machinery and equipment. (Materials and methods) The system of maintenance in agriculture is characterized by a significant decrease in efficiency due to physical and moral wear of equipment of repair and technical enterprises, low level and insufficient qualification of personnel and managers of enterprises of the agro-industrial complex. The availability of existing enterprises of the agro-industrial complex with production areas is no more than 50 percent, technological equipment is no more than 47 percent, and technological equipment and equipment for jobs are 15 and 40 percent. (Results and discussion) The modernization of the infrastructure of technical service of agricultural machinery is aimed at updating the technological base of machine repair. Repair and technical enterprises do not have the necessary equipment to perform a number of maintenance and routine repairs. The process of developing technical service infrastructure is significantly behind the level of structural and technological complexity of agricultural machinery. Due to technological requirements, complex components and assemblies, such as engines, hydraulic equipment, fuel pumps of domestic and imported agricultural machinery should not be repaired in the conditions of farms. (Conclusions) The high technological level of innovative technical service centers serves as a condition for efficient operation of production, ensuring its stability and reliability of operation, flexibility and adaptability, high intensity and waste-free operation.
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KATAEV, YURIY V. "METHOD OF ORGANIZING MAINTENANCE AND REPAIR OF AGRICULTURAL MACHINERY PARTS." Agricultural engineering, no. 5 (2022): 67–72. http://dx.doi.org/10.26897/2687-1149-2022-5-67-72.

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Increasing the performance of machines within their useful life necessitates modernizing maintenance and repair strategies. To develop a method for organizing maintenance and repair of machine parts aimed at improving the reliability of agricultural machinery, the authors carried out an analysis of the U-shaped form of the failure rate curve. Two types of post-warranty service were considered. The study showed that the failures of machine parts observed while operating are of two types: failures of the manufacturer (determined by the quality of design, manufacture and installation, and characterized by the failure rate) and operational failures (determined by the service quality of machine parts and characterized by the distribution law of failures described by the Weibull distribution, the standard normal Gaussian distribution law or other distribution laws of random variables). The research yielded the characteristics of the life periods of the control objects. The authors determined and justified the law of resource distribution and the active area of control, and presented methods for their analysis and use in the maintenance and repair of machine parts. The proposed method of maintenance and repair, based on preventing the failures of machine parts through the use of post-warranty service, will improve the reliability of diagnosed machines.
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Kataev, Yu V., V. S. Gerasimov, and M. S. Mordasova. "Engineering Structure Strategy for Agricultural Machinery Utilization System." Machinery and Equipment for Rural Area, no. 10 (October 28, 2022): 31–34. http://dx.doi.org/10.33267/2072-9642-2022-10-31-34.

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The creation of a resourcesaving environmentally-oriented system for agricultural machinery (AM) disposal provides for the formation of an engineering structure for the collection and processing of recyclable machines. The engineering structure of this type of activity should consist of existing repair and maintenance enterprises and service centers involved in the maintenance of AM, as well as newly created specialized enterprises for its deep utilization.
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Dissertations / Theses on the topic "Machinery - Maintenance and repair"

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Gatang'i, Peter Gatheru. "Effective management of machinery in government-operated hospitals." Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1237.

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The methodology and the processes that are followed in the maintenance of government-operated district hospitals in the Eastern Cape Province of South Africa are outlined while the strategies that are employed to roll-out the maintenance plan have been investigated. The challenges in managing hospital maintenance are identified so that it can be improved and advice be given on the strategies currently being used. The objectives of the research were to determine the effectiveness of machinery maintenance in government-operated district hospitals. The study has been carried out by investigating 50 district hospitals within the Eastern Cape Province, with the aim of obtaining knowledge of practices in relation to the strategic plans and best practices in the maintenance industry. The following factors identified by the maintenance staff were found to be most important in maintenance management practices; realistic budgets, adherence to occupational health and safety regulations, engagement of qualified and skilled maintenance staff, good record management in relation to the equipment under maintenance, availability of tools and materials and keeping abreast with the latest technologies and trends of machinery advancement. The study also revealed that the majority of the hospitals use a combination of in-house and outsourced personnel during maintenance, the outsourced part being under contract from the National Department of Public Works Repair and Maintenance Plan (RAMP) projects. Service kits and recommended replacement parts for machinery are rarely stocked on the hospital premises while only minor spare parts that include replacement bulbs, electrical fittings, plumbing fittings and paint are readily available. In addition, the maintenance staff members have little or no input in maintenance budgeting, this aspect is controlled by hospital management. For maintenance to be effective, strategic planning that takes into account carefully thought-out maintenance management systems is the first step in the direction of setting out definite tangible objectives and goals. The real challenge lies in the implementation and sustainability of the maintenance management system and the monitoring thereof.
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El, Hayek Mustapha Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Optimizing life-cycle maintenance cost of complex machinery using advanced statistical techniques and simulation." Awarded by:University of New South Wales. School of Mechanical and Manufacturing Engineering, 2006. http://handle.unsw.edu.au/1959.4/24955.

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Maintenance is constantly challenged with increasing productivity by maximizing up-time and reliability while at the same time reducing expenditure and investment. In the last few years it has become evident through the development of maintenance concepts that maintenance is more than just a non-productive support function, it is a profit- generating function. In the past decades, hundreds of models that address maintenance strategy have been presented. The vast majority of those models rely purely on mathematical modeling to describe the maintenance function. Due to the complex nature of the maintenance function, and its complex interaction with other functions, it is almost impossible to accurately model maintenance using mathematical modeling without sacrificing accuracy and validity with unfeasible simplifications and assumptions. Analysis presented as part of this thesis shows that stochastic simulation offers a viable alternative and a powerful technique for tackling maintenance problems. Stochastic simulation is a method of modeling a system or process (on a computer) based on random events generated by the software so that system performance can be evaluated without experimenting or interfering with the actual system. The methodology developed as part of this thesis addresses most of the shortcomings found in literature, specifically by allowing the modeling of most of the complexities of an advanced maintenance system, such as one that is employed in the airline industry. This technique also allows sensitivity analysis to be carried out resulting in an understanding of how critical variables may affect the maintenance and asset management decision-making process. In many heavy industries (e.g. airline maintenance) where high utilization is essential for the success of the organization, subsystems are often of a rotable nature, i.e. they rotate among different systems throughout their life-cycle. This causes a system to be composed of a number of subsystems of different ages, and therefore different reliability characteristics. This makes it difficult for analysts to estimate its reliability behavior, and therefore may result in a less-than-optimal maintenance plan. Traditional reliability models are based on detailed statistical analysis of individual component failures. For complex machinery, especially involving many rotable parts, such analyses are difficult and time consuming. In this work, a model is proposed that combines the well-established Weibull method with discrete simulation to estimate the reliability of complex machinery with rotable subsystems or modules. Each module is characterized by an empirically derived failure distribution. The simulation model consists of a number of stages including operational up-time, maintenance down-time and a user-interface allowing decisions on maintenance and replacement strategies as well as inventory levels and logistics. This enables the optimization of a maintenance plan by comparing different maintenance and removal policies using the Cost per Unit Time (CPUT) measure as the decision variable. Five different removal strategies were tested. These include: On-failure replacements, block replacements, time-based replacements, condition-based replacements and a combination of time-based and condition-based strategies. Initial analyses performed on aircraft gas-turbine data yielded an optimal combination of modules out of a pool of multiple spares, resulting in an increased machine up-time of 16%. In addition, it was shown that condition-based replacement is a cost-effective strategy; however, it was noted that the combination of time and condition-based strategy can produce slightly better results. Furthermore, a sensitivity analysis was performed to optimize decision variables (module soft-time), and to provide an insight to the level of accuracy with which it has to be estimated. It is imperative as part of the overall reliability and life-cycle cost program to focus not only on reducing levels of unplanned (i.e. breakdown) maintenance through preventive and predictive maintenance tasks, but also optimizing inventory of spare parts management, sometimes called float hardware. It is well known that the unavailability of a spare part may result in loss of revenue, which is associated with an increase in system downtime. On the other hand increasing the number of spares will lead to an increase in capital investment and holding cost. The results obtained from the simulation model were used in a discounted NPV (Net Present Value) analysis to determine the optimal number of spare engines. The benefits of this methodology are that it is capable of providing reliability trends and forecasts in a short time frame and based on available data. In addition, it takes into account the rotable nature of many components by tracking the life and service history of individual parts and allowing the user to simulate different combinations of rotables, operating scenarios, and replacement strategies. It is also capable of optimizing stock and spares levels as well as other related key parameters like the average waiting time, unavailability cost, and the number of maintenance events that result in extensive durations due to the unavailability of spare parts. Importantly, as more data becomes available or as greater accuracy is demanded, the model or database can be updated or expanded, thereby approaching the results obtainable by pure statistical reliability analysis.
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Conrad, George R. "Development of course outlines for a maintenance technician training program." CSUSB ScholarWorks, 1985. https://scholarworks.lib.csusb.edu/etd-project/415.

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Clark, David. "Terotechnology : its application to the Australian coal mining industry." Thesis, Queensland University of Technology, 1995. https://eprints.qut.edu.au/36236/1/36236_Clark_1995.pdf.

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Tererotechnology evolved between 1970 and 1975. In 1968 PA Management Consultants Ltd., was commissioned by the then Minister of Technology of the UK to carry out a study of engineering maintenance in British manufacturing industry. It reported that:- a) the total direct cost of engineering maintenance was approximately 1, 100 Million Pounds per annum (circa 1968) b) improved productivity of maintenance staff could have led to a reduction in maintenance expenditure of around 250 Million Pounds per annum. c) better maintenance could have saved about 300 Million Pounds per annum of lost production caused by unavailability. Using this and other information a UK Ministry of Technology working party reporting in 1970 emphasised among other things, the importance of the link between maintenance costs and the feedback of information to the designers of the plant. A steering committee ( The Committee for Terotechnology) was then set up to examine the broader findings of this report and in 1972 published their conclusions, central to which was the statement - "the nature of the maintenance activity was determined by the manner in which plant and equipment was designed, selected, installed, commissioned, operated, removed and replaced. Major benefits could come to British Industry from the adoption of a broadly based technology which embraces all these areas, and because no suitable word exited to describe such a multidisciplinary concept, the name "terotechnology" (based on the Greek word "terin" - to look after) was adopted." In 1975 the Committee for Terotechnology defined terotechnology as follows:- " a combination of management, financial, engineering and other practices applied to physical assets in pursuit of economic life cycle costs." The following was then added: " .... its practice is concerned with the specification and design for reliability and maintainability of plant , machinery equipment, buildings and structures, with their installation and replacement, and with the feedback of information on design, performance and costs." (1) The definition was subsequently utilised in BS.3811 1984. The concept ofterotechnology is therefore, a total concept, colloquially called whom to tomb. The Australian underground coal mining industry is a. two billion dollar a year industry, contributing greatly to the Australian economy, particularly the export economy. Appendix CI-1 gives an overview of the industry. (2) Having spent over 30 years in the industry, most of which was in engineering and maintenance, I was acutely aware that the industry committed many millions of dollars maintaining its plant and equipment. I was also aware that the equipment design was, in the main, maintenance unfriendly. Also, equipment failures were responsible for many lengthy and expensive delays resulting in interruptions to the production process and loss of production. Whilst many endeavours were made to improve the situation, I became persuaded that a much deeper problem existed, the results of which were being addressed but little effort seemed to be spent on addressing the fundamental causes of the problems resulting in equipment downtime and its consequences. Having been exposed to the discipline of terotechnology through studies for a Graduate Diploma in Maintenance Management (Terotechnology), I sought to study the industry's perception of itself in the terotechnological perspective. This resulted in my initial industry survey in 1985, of its maintenance and its management. The results identified that indeed a problem did exist but needed a more indepth and expanded industry analysis for the real details to be quantified. To my knowledge, no previous research has been conducted into the terotechnological aspects of the coal mining industry. Consequently, the research was commenced through QUT for a Master of Engineering Degree. This Thesis is the results of that research. The research sought to address the fundamental issues addressed in the UK study and to determine if indeed similar savings could be achieved in the Australian coal industry. That is a) to determine the cost of engineering maintenance b) to detennine the maintenance cost savings achievable if maintenance could be improved. c) to determine the costs of lost production costs through maintenance causes. The research commenced by issuing a survey document in 1989 and followed this up with detailed analysis of coal industry records. Two visits to the USA in 1991 and 1992, to discuss equipment performance and design with designers and users also contributed to the research. The underground coal mining industry uses two basic methods of mining to mine the coal in Australia. One is Bord and Pillar extraction method using continuous miner systems and the other is Longwall extraction methods. The research concentrated heavily on continuous miners as they were identified as having the greatest impact on maintenance and productivity in the immediate future. Longwall is the technology of the future analysed but to a lesser extent than continuous miners, as a detailed industry analysis was being conducted by the coal industry of this technology during my research of continuous miners. The Australian underground coal mining industry is being forced to become more world wide competitive than at any time in its history. It follows therefore, that whatever the technology used to produce the coal, the four elements of:- a) Fit for purpose equipment b) Competent people c) Safe work procedures d) Controlled work environment must be addressed. This is consistent with the terotechnological approach of this research. Results of the research follow in this document.
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Elwany, Alaa H. "Sensor-based prognostics and structured maintenance policies for components with complex degradation." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37198.

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We propose a mathematical framework that integrates low-level sensory signals from monitoring engineering systems and their components with high-level decision models for maintenance optimization. Our objective is to derive optimal adaptive maintenance strategies that capitalize on condition monitoring information to update maintenance actions based upon the current state of health of the system. We refer to this sensor-based decision methodology as "sense-and-respond logistics". As a first step, we develop and extend degradation models to compute and periodically update the remaining life distribution of fielded components using in situ degradation signals. Next, we integrate these sensory updated remaining life distributions with maintenance decision models to; (1) determine, in real-time, the optimal time to replace a component such that the lost opportunity costs due to early replacements are minimized and system utilization is increased, and (2) sequentially determine the optimal time to order a spare part such that inventory holding costs are minimized while preventing stock outs. Lastly, we integrate the proposed degradation model with Markov process models to derive structured replacement and spare parts ordering policies. In particular, we show that the optimal maintenance policy for our problem setting is a monotonically non-decreasing control limit type policy. We validate our methodology using real-world data from monitoring a piece of rotating machinery using vibration accelerometers. We also demonstrate that the proposed sense-and-respond decision methodology results in better decisions and reduced costs compared to other traditional approaches.
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Saxena, Abhinav. "Knowledge-Based Architecture for Integrated Condition Based Maintenance of Engineering Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16125.

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A paradigm shift is emerging in system reliability and maintainability. The military and industrial sectors are moving away from the traditional breakdown and scheduled maintenance to adopt concepts referred to as Condition Based Maintenance (CBM) and Prognostic Health Management (PHM). In addition to signal processing and subsequent diagnostic and prognostic algorithms these new technologies involve storage of large volumes of both quantitative and qualitative information to carry out maintenance tasks effectively. This not only requires research and development in advanced technologies but also the means to store, organize and access this knowledge in a timely and efficient fashion. Knowledge-based expert systems have been shown to possess capabilities to manage vast amounts of knowledge, but an intelligent systems approach calls for attributes like learning and adaptation in building autonomous decision support systems. This research presents an integrated knowledge-based approach to diagnostic reasoning for CBM of engineering systems. A two level diagnosis scheme has been conceptualized in which first a fault is hypothesized using the observational symptoms from the system and then a more specific diagnostic test is carried out using only the relevant sensor measurements to confirm the hypothesis. Utilizing the qualitative (textual) information obtained from these systems in combination with quantitative (sensory) information reduces the computational burden by carrying out a more informed testing. An Industrial Language Processing (ILP) technique has been developed for processing textual information from industrial systems. Compared to other automated methods that are computationally expensive, this technique manipulates standardized language messages by taking advantage of their semi-structured nature and domain limited vocabulary in a tractable manner. A Dynamic Case-based reasoning (DCBR) framework provides a hybrid platform for diagnostic reasoning and an integration mechanism for the operational infrastructure of an autonomous Decision Support System (DSS) for CBM. This integration involves data gathering, information extraction procedures, and real-time reasoning frameworks to facilitate the strategies and maintenance of critical systems. As a step further towards autonomy, DCBR builds on a self-evolving knowledgebase that learns from its performance feedback and reorganizes itself to deal with non-stationary environments. A unique Human-in-the-Loop Learning (HITLL) approach has been adopted to incorporate human feedback in the traditional Reinforcement Learning (RL) algorithm.
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Matejová, Alexandra. "Návrh na zlepšenie starostlivosti o dlhodobý hmotný majetok v strojárenskej výrobe." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224849.

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This master thesis focuses on the issue of tangible fixed assets management in the company HP spol. s r.o. which manufactures plastic bags and various technical parts. This thesis is based on the current state of the company and with attention to key areas such as care of the tangible fixed assets, organization and operation maintenance. The aim of the company analysis is to identify weaknesses and their resulting opportunities. In the next section are presented solutions to problems which were identified by analysis. Economic evaluation of the proposals with their benefits and timetable is carried out in conclusion of the thesis.
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Klopper, Marthinus Ferreira. "The life expectancy of heavy earthmoving equipment on a sand dune mine in a highly corrosive environment." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/80762.

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Thesis (MBA)--Stellenbosch University, 2004.
ENGLISH ABSTRACT: Richards Bay Minerals (RBM) went through a restructuring process in 2002. The effect that these changes had on the life expectancy of the heavy earthmoving equipment (HEME) at the company’s sand dune mining operation situated at Richard’s Bay on the north coast of KwaZulu-Natal, was unknown. This study explores these, and various other factors, that influence the life expectancy of the HEME in this highly corrosive environment. During the last number of years there has been no equipment replacement philosophy at RBM and this has resulted in the average age of HEME at the mine being extremely high. This study suggests that when restructuring is implemented in the wrong way, the process can have significant negative implications. The study determines how the behaviour of especially drivers and maintenance personnel (maintainers) impacts on the expected life of the HEME at RBM. The hidden cost element of driver and maintainer unhappiness, however, is not included as part of this study. In the first part of this study project, the writer focuses on what may have caused the unhappiness, and makes suggestions for further studies aimed at addressing this unhappiness and changing the behaviour of drivers and maintainers. These suggestions should be seen as guidelines, as measures that work in one company may not necessarily work in another. The second part of the study project deals with the replacement philosophy regarding HEME at RBM. The mine has various types of equipment, but the main focus of this research falls on the following: Caterpillar 966- 980 (payloaders), track type equipment Caterpillar D7R/H (dozers), Caterpillar 988- 992 (heavy duty payloaders) and Bell B25 articulated dumptrucks (dumptrucks) Four different replacement models are investigated and discussed in detail. The model that was best aligned with the Caterpillar proposed best replacement practice, as stipulated by the Caterpillar replacement expert, is identified. Finally, a replacement cycle for the different types of equipment is proposed.
AFRIKAANSE OPSOMMING: Richardsbaai Minerale (RBM) het in 2002 deur ‘n herstruktureringsprogram gegaan. Die uitwerking wat die gevolge daarvan op die swaar grondverskuiwingsvoertuie (SGV) gehad het was onbekend. Gedurende die laaste aantal jare was daar geen vervangingsbeleid by RBM nie, en dit het meegebring dat die gemiddelde ouderdom van die SGV op die myn buitengewoon hoog is. Dit is belangrik om te bepaal wat die invloed van menslike gedrag van veral die drywers en herstelpersoneel op die verwagte leeftyd van SGV is. Die versteekte koste wat verbind word met ongelukkige drywers en herstelpersoneel maak nie deel uit van hierdie studie nie. As herstrukturering op die verkeerde manier toegepas word kan dit ‘n negatiewe impak hê. In die studie sal daar aandag gegee word aan wat die negatiewe elemente is en wat is die moontlike oorsaak daarvan. Daar word ook sekere voorstelle gemaak vir toekomstige studies om die ongelukkigheid aan te spreek en ‘n gedragsverandering na vore te bring. Die voorstelle is slegs riglyne en, wat in een maatskappy werk sal nie noodwendig in ‘n ander een werk nie. Die tweede deel van die werkstuk fokus op vervangingsteorieë met betrekking tot die SGV op RBM. Die myn het verskeie tipes SGVs maar die fokus het geval op vier soorte SGV. Hulle is Caterpillar 966- Caterpillar 980 (gemiddelde laaiers), spoor tipe toerusting Caterpillar D7R/H (stootskrapers), Caterpillar 988- Caterpillar 992 (swaargewig mobiele laaiers) en Bell B25 geartikuleerde stortings trokke (stortings trokke). Vier verskillende modelle is ondersoek en deeglik bespreek. Die model met die beste uitslae wat die mas opgekom het ten opsigte van die Caterpillar se voorgestelde beste vervangings praktyk, soos aangedui deur die Caterpillar voertuig vervangings kenner, is ge-identifiseer. Laastens word die vervangingsiklus vir die verskillende tipes toerusting voorgestel.
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Van, den Berg Gideon. "Hidden Markov models for tool wear monitoring in turning operations." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-05302005-114238/.

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Tada, Mariko. "Design and development of a standardized Mitsubishi PLC program troubleshooting and repair training manual for machine maintenance personnel at TTAI." Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004tadam.pdf.

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Books on the topic "Machinery - Maintenance and repair"

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Bloch, Heinz P. Machinery component maintenance and repair. Houston: Gulf Pub. Co., Book Division, 1985.

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K, Geitner Fred, ed. Machinery component maintenance and repair. 2nd ed. Houston: Gulf Pub. Co., 1990.

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Bloch, Heinz P. Machinery component maintenance and repair. Houston: Gulf Pub. Co, 1990.

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K, Geitner Fred, ed. Machinery component maintenance and repair. 3rd ed. Amsterdam: Elsevier, Gulf Professional Pub., 2005.

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H, Gunter Robert, Buckingham Frank, and Deere & Company., eds. Preventive maintenance. 6th ed. East Moline, IL: John Deere, 2000.

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Heavy equipment repair. 2nd ed. New York: McGraw-Hill, 1989.

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Dixon, Graham. The dishwasher manual: DIY plumbing, maintenance, repair. Sparkford, Nr. Yeovil, Somerset, England: Haynes Pub. Group, 1990.

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1943-, Mobley R. Keith, ed. Industrial machinery repair: Best maintenance practices pocket guide. Amsterdam: Butterworth-Heinemann, 2003.

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K, Geitner Fred, ed. Major process equipment maintenance and repair. Houston, Tex: Gulf Pub. Co., 1985.

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K, Geitner Fred, ed. Major process equipment maintenance and repair. 2nd ed. Houston, Tex: Gulf Pub. Co., 1997.

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Book chapters on the topic "Machinery - Maintenance and repair"

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Abide, Ahmed, Jeyaraju Jayaprakash, Bereket Haile, and Sisay Geremew. "Machine Repair Problem with Preventive Maintenance and Multi Criteria Prioritization of Machines." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 83–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15357-1_6.

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Betz, Matthias. "The Secret Life of Machines – Boundary Objects in Maintenance, Repair and Overhaul." In Lecture Notes in Computer Science, 174–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12654-3_11.

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Dangel, Rainer. "Maintenance and Repair." In Injection Moulds for Beginners, 263–67. München: Carl Hanser Verlag GmbH & Co. KG, 2016. http://dx.doi.org/10.3139/9781569906323.008.

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Dangel, Rainer. "Maintenance and Repair." In Injection Molds for Beginners, 267–71. München: Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9781569908198.008.

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Son, Lee How, and George C. S. Yuen. "Repair of Concrete Structures." In Building Maintenance Technology, 124–56. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23150-8_7.

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Smith, Ricky, and R. Keith Mobley. "Maintenance Welding." In Industrial Machinery Repair, 460–538. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075067621-2/50024-x.

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Smith, Ricky, and R. Keith Mobley. "Maintenance Skills Assessment." In Industrial Machinery Repair, 26–49. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075067621-2/50003-2.

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Bloch, Heinz P., and Fred K. Geitner. "Machinery alignment." In Machinery Component Maintenance and Repair, 205–63. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-818729-6.00005-8.

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Smith, Ricky, and R. Keith Mobley. "Fundamental Requirements of Effective Preventive/Predictive Maintenance." In Industrial Machinery Repair, 10–25. Elsevier, 2003. http://dx.doi.org/10.1016/b978-075067621-2/50002-0.

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Bloch, Heinz P., and Fred K. Geitner. "Machinery maintenance: An overview." In Machinery Component Maintenance and Repair, 3–12. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-818729-6.00001-0.

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Conference papers on the topic "Machinery - Maintenance and repair"

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Skokov, E. V., V. V. Ladoshko, and M. I. CHastukhin. "Repair and maintenance of agricultural machinery with departure." In ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ. НИЦ «Л-Журнал», 2018. http://dx.doi.org/10.18411/lj-05-2018-68.

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Mugford, James R. "Can Advanced Repair and Maintenance Technologies Prevent Machines From Failing?" In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2024.

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Relatively low cost, easy to use, failure prediction technologies have empowered the maintenance department and have helped to change its position within plant organizational structures. Organizations that have embraced these new technologies and maintenance philosophies have helped to transform maintenance from a cost center into a strategically important department that has a material effect on profitability and competitiveness. As might be predicted, the rapid adoption of these failure prediction technologies is reducing the number of machines that are failing and having to be repaired. With fewer machines requiring repair, equipment repair shops are having to change to adapt to this new reality. In the near future fewer repair shops will exist and the ones that remain will be characterized as being high tech organizations with engineering, redesign and advanced repair process capabilities. These “repair shops of the future” will focus their energies on redesigning and then repairing chronically troublesome machines that have had the tendency to fail on a re-occurring basis. This paper will discuss these developments and show how they are reducing, and in some cases eliminating, the catastrophic failure of industrial plant machinery.
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Penrose, Robert. "The Single Anode Machine (SAM) Automation of Brush Plating." In Airframe Finishing, Maintenance & Repair Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/931056.

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Temasova, G. N., O. A. Leonov, N. Zh Shkaruba, and Yu G. Vergasova. "Identification of the process of maintenance and repair of machinery and equipment." In II All-Russian Scientific Conference "Science, Technology, Society". Krasnoyarsk Science and Technology City Hall, 2022. http://dx.doi.org/10.47813/nto.2.2022.5.216-222.

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The article presents the procedure for identifying and describing the process model "Maintenance and repair of machinery and equipment" in accordance with the IDF0 model from the point of view of the process approach. Diagram A0 is constructed, followed by diagram A4 of the next level, which describes the interaction of subprocesses. Identification of the processes of maintenance enterprises allows to improve the quality of products and services. When determining the procedure for identifying and describing the process model of maintenance enterprises, the fundamental regulatory document is the international standard ISO 9001:2015. The methodology described in GOST R 52380.1-2005 has been adopted as the basis for modeling the processes of maintenance enterprises. Diagrams A0 and A4 serve to solve the technical and economic problems of the enterprise, and first of all it concerns the analysis of quality costs, internal and external losses arising from the provision of repair and maintenance of equipment.
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Butler, Alley, Dan Baldwin, and Mohit Kashyap. "Assessing Maintenance Cost for Design or Re-Design of Complex Machinery." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34492.

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Maintenance costs are often significant for complex machinery, and organizations that are able to accurately assess maintenance costs for complex machinery can design or re-design the machinery to reduce maintenance expenses. This paper provides a review of relevant reliability theory to provide a background for model construction. The maintenance cost model is then developed from a probabilistic perspective, with a hierarchical breakdown of the complex machinery, and with consideration of the time value of money. A framework for the cost model is offered in which the cost of repair and preventative maintenance is considered along with the downtime costs for repair or preventative maintenance. As a proof of concept, maintenance costs for Ship Service Gas Turbine Generators (SSGTG) are developed from the Navy’s OARS (Open Architecture Retrieval System) data. Problems with data quality and heuristic adjustment of the data are discussed, recognizing that work is ongoing to improve the quality of the Navy’s maintenance data. Cognition Corporation’s Cost Advantage software is used for the modeling effort, providing an ability to focus on maintenance cost at any level of detail and to obtain cost roll up, as needed. Conclusions are drawn with respect to the modeling of maintenance costs for complex machinery.
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Liao, Hao-yu, Willie Cade, and Sara Behdad. "Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-63966.

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Abstract Accurate prediction of product failures and the need for repair services become critical for various reasons, including understanding the warranty performance of manufacturers, defining cost-efficient repair strategies, and compliance with safety standards. The purpose of this study is to use machine learning tools to analyze several parameters crucial for achieving a robust repair service system, including the number of repairs, the time of the next repair ticket or product failure, and the time to repair. A large dataset of over 530,000 repairs and maintenance of medical devices has been investigated by employing the Support Vector Machine (SVM) tool. SVM with four kernel functions is used to forecast the timing of the next failure or repair request in the system for two different products and two different failure types, namely random failure and physical damage. A frequency analysis is also conducted to explore the product quality level based on product failure and the time to repair it. Besides, the best probability distributions are fitted for the number of failures, the time between failures, and the time to repair. The results reveal the value of data analytics and machine learning tools in analyzing post-market product performance and the cost of repair and maintenance operations.
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Tiina E A Mattila, Kim O Kaustell, and Risto H Rautiainen. "Analysis of Safety Intervention Bottlenecks in Maintenance and Repair of Farm Machinery and Buildings." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27181.

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Shimokhin, A. V., O. M. Kirasirov, G. V. Redreev, and N. A. Zaripova. "A method for the automatization of process management in technical maintenance and repair of machinery." In International Scientific and Practical Symposium "Materials Science and Technology" (MST2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0099109.

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Umeda, Yasushi, Tetsuo Tomiyama, and Hiroyuki Yoshikawa. "A Design Methodology for a Self-Maintenance Machine." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0041.

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Abstract This paper proposes a design methodology for a self-maintenance machine. The self-maintenance machine is a machine that can maintain its functions for a while, even though faults happen. In order to achieve functions for diagnosing and repair planning, a model based approach that employs qualitative physics is proposed. Regarding repair executing function, two types of repair strategies are proposed; viz., control type and functional redundancy type which is a strategy to add redundancy to a machine from a viewpoint of function. A prototype of the self-maintenance machine is developed. Because this machine uses the control type of repair strategy, it succeeded to maintain its functions as far as its structure does not change. A promising candidate for dealing with faults that involve structural changes is the functional redundancy type of repair.
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Fu, Hao, Hong Lu, Yongquan Zhang, Zidong Wu, He Huang, Shijie Liu, and Shaojun Wang. "A Novel Welding Method for Repairing Surface Defects of Large-Type Rotary Machinery Based on Line Structured Light Detection." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85527.

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Abstract Large-type rotary machinery is the core components of national major projects which is widely used aviation, electric power, metallurgy, energy and construction machinery industries. Surface defects of Large-type rotary machinery such as cracks and pits are usually processed into groove with a certain shape first, and then the processed groove is repaired by manual welding. This manual welding repair method has a low level of automation, and the repair quality of the groove is difficult to guarantee. Therefore, this paper proposes a novel welding method for repairing surface defects of Large-type rotary machinery which uses the Kollmorgen Joint Modular Robot to complete the welding repair of the processed groove. Firstly, the groove point cloud data collected by Line structured light sensor is processed by the designed algorithm to obtain the contour characteristics of the groove. Then, the arrangement of welding pass is completed based on contour characteristics of the groove. Finally, the trajectory of the welding robot is determined by the position of welding pass. The planned trajectory verification is completed on the simulation experiment platform and the result shows the accuracy and reliability of the planned trajectory which has certain theoretical and practical significance for realizing the automation of on-site maintenance of Large-type rotary machinery.
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Reports on the topic "Machinery - Maintenance and repair"

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Thomas, Douglas S., and Brian A. Weiss. Economics of manufacturing machinery maintenance:. Gaithersburg, MD: National Institute of Standards and Technology, June 2020. http://dx.doi.org/10.6028/nist.ams.100-34.

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Wilson, David. Repair Machinery for Radiation-Induced DNA Damage. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada396847.

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Thompson, Lawrence H. Repair Machinery for Radiation-Induced DNA Damage. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada407373.

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Thompson, Lawrence H. Repair Machinery for Radiation-Induced DNA Damage. Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada423482.

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Wilson, David. Repair Machinery for Radiation-Induced DNA Damage. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada384080.

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ORINCON CORP LA JOLLA CA. Conditioned Based Machinery Maintenance (Helicopter Fault Detection). Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada252822.

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ORINCON CORP LA JOLLA CA. Conditioned Based Machinery Maintenance (Helicopter Fault Detection). Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada255796.

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Chen, Phang-Lang. BRCA2 and the DNA Double-Strand Break Repair Machinery. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada392755.

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Brotherton, T. W., and T. G. Pollard. Condition Based Machinery Maintenance (Helicopter Fault Detection). Phase I. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada259774.

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Johnson, Leslie D., and Terri A. Merdes. Accelerated Capabilities Initiative Condition-Based Maintenance: Machinery Diagnostics/Prognostics II. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430339.

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