Relevant bibliographies by topics / Volume based maintenace

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Volume based maintenace'

Author: Grafiati
Published: 24 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Volume based maintenace"

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Ouyang, Nan. "Comprehensive Operation Risk Assessment of a Highway Maintenance Area Based on Reliability." Sustainability 13, no. 16 (August 5, 2021): 8744. http://dx.doi.org/10.3390/su13168744.

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To study the influence of various working conditions on traffic safety in the maintenance area of a mountain expressway, 675 groups of PTV VISSIM traffic simulation experiments were designed with various traffic organization modes, traffic volumes, traffic compositions, activity area lengths, and speed limit values. The results show that the activity area length of a closed lane, a compressed lane, and a borrowed opposite lane had no marked influence on the traffic conflicts. There was a significant positive correlation between the proportion of trucks and the number of traffic conflicts, and the number of traffic conflicts increased significantly with an increase in traffic volume. In the closed lane and borrowed opposite lane scenarios, the increase in traffic conflicts was more obvious with the increase in traffic volume. There were obvious differences in the number of traffic conflicts under different forms of traffic organization. The number of conflicts in the compressed lane scenario was the lowest, and in the borrowed opposite lane scenario the number of conflicts was the highest. There was a significant correlation between a decrease in the speed limit and an increase in the number of traffic conflicts. Finally, with traffic volume, truck proportion, and speed limit values as independent variables and reliability as a dependent variable, linear regression equations of reliability were established for three traffic organization scenarios: closed lane, borrowed opposite lane, and compressed lane.
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Xu, Peng, Rengkui Liu, Quanxin Sun, and Futian Wang. "A Novel Short-Range Prediction Model for Railway Track Irregularity." Discrete Dynamics in Nature and Society 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/591490.

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In recent years, with axle loads, train loads, transport volume, and travel speed constantly increasing and railway network steadily lengthening, shortcomings of current maintenance strategies are getting to be noticed from an economical and safety perspective. To overcome the shortcomings, permanent-of-way departments throughout the world have given a considerable attention to an ideal maintenance strategy which is to carry out appropriate maintenances just in time on track locations really requiring maintenance. This strategy is simplified as the condition-based maintenance (CBM) which has attracted attentions of engineers of many industries in the recent 70 years. To implement CBM for track irregularity, there are many issues which need to be addressed. One of them focuses on predicting track irregularity of each day in a future short period. In this paper, based on track irregularity evolution characteristics, a Short-Range Prediction Model was developed to this aim and is abbreviated to TI-SRPM. Performance analysis results for TI-SRPM illustrate that track irregularity amplitude predictions on sampling points by TI-SRPM are very close to their measurements by Track Geometry Car.
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Jung, Haekook, Yongjae Kim, Seungwon Kim, Cheolwoo Park, and Jeong-Hee Nam. "Life Extension of Aged Jointed Plain Concrete Pavement through Remodeling Index–Based Analysis." Materials 13, no. 13 (July 4, 2020): 2982. http://dx.doi.org/10.3390/ma13132982.

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As jointed plain concrete pavements (JPCP) age in South Korea, the cost of pavement maintenance is increasing annually. To extend the life of jointed concrete pavements through preventive maintenance, this study used 2017 pavement management system data to analyze the effects of traffic volume, alkali–silica reaction (ASR) grade, age, smoothness, and damaged area on the remodeling index (RMI—a measure of expressway pavement condition). In addition, this study evaluates the final RMI as well as the corresponding pavement condition and change in RMI value after conducting preventive maintenance in lieu of resurfacing or overlaying. The results demonstrated that the effect of ASR grade increased as the RMI forecast year increased and that change in surface distress (△SD) increased with age (most intensively when the pavement was 15–20 years of age). Moreover, change in international roughness index (△IRI) increased with age and traffic volume (similarly within 15–20 years of pavement age). Hence, preventive maintenance is a must for sections with high traffic volume and age even if the RMI is low. Finally, performing repairs through preventive maintenance decreases the number of expressway sections requiring resurfacing and overlaying, thus extending the life of the concrete pavement.
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Hafez, Marwan, Khaled Ksaibati, and Rebecca A. Atadero. "Optimizing Expert-Based Decision-Making of Pavement Maintenance using Artificial Neural Networks with Pattern-Recognition Algorithms." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 11 (June 6, 2019): 90–100. http://dx.doi.org/10.1177/0361198119851085.

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Light pavement rehabilitations and low-cost treatments are extensively employed among transportation agencies on roads with relatively low traffic volumes to optimize available resources. One concern with this approach entails the difficulties of determining the optimal timing for treatment application. Making the best use of limited resources requires improvements in maintenance decision-making for selecting treatments considering all affecting factors and previous experience. This paper presents a machine learning approach in the decision-making process for determining the most appropriate pavement maintenance and rehabilitation alternatives for low-volume paved roads at the network level. Based on regional experts’ recommendations and engineering judgments in Colorado, a wide range of 884 cases of pavement-treatment patterns were generated. Then an artificial neural network (ANN) was trained with pattern-recognition algorithms. Two ANN prediction models were developed on the basis of pavement condition data, represented by six condition indices, and road lengths. The objective of training the models is to evaluate the variability of maintenance practices among five engineering regions within the Colorado Department of Transportation (CDOT). The outcome of this study describes the implementation gaps of pavement-preservation activities among CDOT regions resulting from limited maintenance funding. The regional maintenance selection can be processed by the developed ANN decision-making tool to recommend alternatives from regional recommendations as well as similar applications statewide to fit pavement management needs and expected performance.
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Cabana, Guillermo, Gerard Liautaud, and Asif Faiz. "Areawide Performance-Based Rehabilitation and Maintenance Contracts for Low-Volume Roads." Transportation Research Record: Journal of the Transportation Research Board 1652, no. 1 (January 1999): 128–37. http://dx.doi.org/10.3141/1652-51.

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Nautiyal, Akhilesh, and Sunil Sharma. "Condition Based Maintenance Planning of low volume rural roads using GIS." Journal of Cleaner Production 312 (August 2021): 127649. http://dx.doi.org/10.1016/j.jclepro.2021.127649.

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Sunitha, V., A. Veeraragavan, Karthik K. Srinivasan, and Samson Mathew. "Cluster-Based Pavement Deterioration Models for Low-Volume Rural Roads." ISRN Civil Engineering 2012 (October 21, 2012): 1–8. http://dx.doi.org/10.5402/2012/565948.

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The management of low-volume rural roads in developing countries presents a range of challenges to road designers and managers. Rural roads comprise over 85 percent of the road network in India. The present study aims at development of deterioration models for the optimum maintenance management of the rural roads under a rural road programme namely Pradhan Mantri Gram Sadak Yojana (PMGSY) in India. Visual condition survey along the selected low-volume rural roads considers parameters like condition of shoulders, drainage features, cross-drainage structures, and camber, and pavement distresses, namely, potholes, crack area, and edge break, are collected for a period of three years. The deterioration models have a significant role in the pavement maintenance management system. However, the performance of a pavement depends on several factors. Cluster analysis can be used to group the pavement sections so that the performance of pavements in different clusters can be studied. Nonhierarchical clustering technique of k-means clustering was considered. Separate deterioration models have been developed for each of the clusters. A comparison of the models developed with and without clustered sections reveals that the clustering of pavement sections are preferred for the efficient rural road maintenance management.
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Li, Ningyuan, Michel Huot, and Ralph Haas. "Cost-Effectiveness-Based Priority Programming of Standardized Pavement Maintenance." Transportation Research Record: Journal of the Transportation Research Board 1592, no. 1 (January 1997): 8–16. http://dx.doi.org/10.3141/1592-02.

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A new optimization model and priority programming for pavement network maintenance and rehabilitation management are described. The optimization formulation is directed to determining the most cost-effective treatment action plans for preserving the pavement network’s serviceability above a specified level. The priority programming is conducted on a year-by-year basis, whereas a comprehensive prediction model for pavement deterioration versus time is considered. It is governed by traffic volume, pavement performance, a set of designed standard treatment alternatives, and budget limitations for network preservation. Each standardized pavement treatment alternative, including minor and major maintenance and rehabilitation, is defined by its effect on or level of improvement of the existing pavement surface quality and the corresponding costs. The effectiveness is calculated as a yearly product of the area under the performance curve and a minimum acceptable pavement condition index level multiplied by pavement length, traffic volume, and service days. The costs for applying any one of the standardized alternative treatments are expressed on a present worth basis. The prediction for each individual pavement deterioration is modeled as a time-related (nonhomogeneous) Markov transition process, in which pavement structural and functional improvements upon application of a treatment action are considered. The focus is on an integrated approach to pavement network preservation programming through cost-effectiveness analysis and comprehensive performance prediction in combination with standardized pavement treatment strategies. A case study application to a regional asphalt pavement network in Ontario, Canada, illustrates the use of the optimization model. The priority programming is practical and flexible with regard to the size of a road network, and the results of the example run are discussed.
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Jenab, K., K. Rashidi, and S. Moslehpour. "An Intelligence-Based Model for Condition Monitoring Using Artificial Neural Networks." International Journal of Enterprise Information Systems 9, no. 4 (October 2013): 43–62. http://dx.doi.org/10.4018/ijeis.2013100104.

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This paper reports a newly developed Condition-Based Maintenance (CBM) model based on Artificial Neural Networks (ANNs) which takes into account a feature (e.g., vibration signals) from a machine to classify the condition into normal or abnormal. The model can reduce equipment downtime, production loss, and maintenance cost based on a change in equipment condition (e.g., changes in vibration, power usage, operating performance, temperatures, noise levels, chemical composition, debris content, and volume of material). The model can effectively determine the maintenance/service time that leads to a low maintenance cost in comparison to other types of maintenance strategy. Neural Networks tool (NNTool) in Matlab is used to apply the model and an illustrative example is discussed.
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Bach, Patrick, Ulrich Frischknecht, Svenja Klinkowski, Melanie Bungert, Damian Karl, Christian Vollmert, Sabine Vollstädt-Klein, Stefanie Lis, Falk Kiefer, and Derik Hermann. "Higher Social Rejection Sensitivity in Opioid-Dependent Patients Is Related to Smaller Insula Gray Matter Volume: A Voxel-Based Morphometric Study." Social Cognitive and Affective Neuroscience 14, no. 11 (November 1, 2019): 1187–95. http://dx.doi.org/10.1093/scan/nsz094.

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Abstract Opioid-dependent patients are highly sensitized to negative social feedback, and increased social rejection sensitivity was linked to adverse treatment outcome, but its neurobiological underpinnings have not been understood yet. The present study investigated gray matter (GM) volume differences between 19 opioid maintenance treatment (OMT) patients and 20 healthy controls using magnetic resonance imaging and voxel-based morphometry. Associations of GM volumes with subjective feelings of exclusion and inclusion during a social ostracism (Cyberball) paradigm, with rejection sensitivity, social interaction anxiety and social phobia were explored. OMT patients displayed smaller GM volume in the bilateral insula and inferior frontal gyri. Psychometric and task data showed that patients reported significantly higher rejection sensitivity, social anxiety and social phobia scores and felt more excluded and less included during the social ostracism paradigm. Smaller GM volume in the insula was associated with higher subjective exclusion, lower subjective inclusion and higher rejection sensitivity, social anxiety and social phobia scores. Findings indicate that structural deficits in emotion- and anxiety-processing brain regions in OMT patients are associated with increased social rejection sensitivity. As social rejection is a potential trigger for relapse, patients might benefit from therapeutic strategies that promote social integration.
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Dissertations / Theses on the topic "Volume based maintenace"

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Axelsson, Patrik, and Sanna Korhonen. "Volymbaserat underhåll." Thesis, KTH, Hållbar produktionsutveckling (ML), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297918.

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Examensarbetet utfördes på Scania Industrial Maintenance. Historiskt på Scania har intervallerna för det förebyggande underhållet (FU) på produktionsutrustningen bestämts baserat på kalenderdatum. Då kalenderdatum inte tar hänsyn till produktionsutrustningens faktiska användning så anpassas inte underhållet efter användningen. Detta kan leda till att för mycket eller för lite underhåll utförs i förhållande till användandet. Om för mycket underhåll utförs är detta kostsamt eftersom arbete och utbyten av reservdelar utförs i onödan. Samtidigt som för lite underhåll leder till att maskinerna går sönder när dom är planerade att användas vilket är väldigt kostsamt för företaget. På grund av detta önskar Scania att övergå till att utöver det kalenderbaserade intervallet även kunna bestämma intervallerna för det förebyggande underhållet baserat på produktionsvolymen. Målet med arbetet var att ta fram metoder samt process vilka beskriver hur Scanias fabriker i Södertälje, inom ramen för Future Powertrain Program (FPP), ska övergå till ett underhållsintervall baserat på volym. Dessa metoder ska sedan testas i två piloter, en pilot på Scanias axel- och växellådsmontering och den andra piloten på Scanias motorbearbetning. För att öka projektgruppens kunskap inom de ämnen vilka innefattades av projektet utfördes litteraturstudier på rapporter, artiklar och i faktaböcker. Litteraturstudier utfördes även under arbetets gång på sådant som inte täckts av arbetets initiala litteraturstudie. Utöver litteraturstudien har även en dokumentstudie utförts på företagets interna dokument och omfattade bland annat beredningsprocessen och instruktioner för Maximo vilket är det underhållsystem som används på Scania. Vidare utfördes även intervjuer av personal på Scania IM och Scania under arbetets gång då projektmedlemmarna önskade få insikt i verksamheten och de befintliga arbetssätten. Genom att avgränsa arbetet har fokuset legat på att realisera teorin på ett mindre område för att undersöka ifall denna omställning är möjlig att genomföra. De utvalda pilotområdena på DT och DM studerades i avseende på både organisation och produktionsutrustning. Dessa studier tillsammans med projektets litteraturstudie och dokumentstudie låg sedan som grund vid framtagandet av metoderna. De inom projektet framtagna metoderna testades i pilot på de utvalda områdena och utrustningarna. Piloterna vilka utfördes inom projektet var lyckade och Scania har som avsikt att inte återgå utan i stället utvidga områdena där projektets framtagna metoder ska användas. Resultatet av detta arbete är att det kommer utföras ett mer exakt underhåll i förhållande till det kalenderbaserade underhållet. Projektgruppen kunde även konstatera att säkerheten i verkstäderna skulle kunna höjas vid tillämpning av projektets framtagna metoder. Detta då underhållet som utförs på t.ex. nödstopp eller andra säkerhetsfunktioner utförs i proportion med utrustningens användning, därmed kan säkerheten säkerställas även vid höga produktionstakter. Metoderna framtagna inom projektet tar hänsyn till ifall utrustningen omfattas av garanti eller myndighetskrav. Dessutom tar de hänsyn till förebyggande underhållets längd och om FU:t omfattar ronder, underhåll för operatörer (UFO), periodiska utbyten eller säkerhet. Alla dessa faktorer påverkar vilka åtgärder som ska vidtas på det kalenderstyrda och volymbaserade FU:t vilket resulterar i en anpassad och förbättrad FU plan.
The thesis project was performed at Scania Industrial Maintenance. Historically, the intervals of the preventive maintenance for the production equipment have been determined based on calendar dates. As the calendar date does not take the actual use of the production equipment into account the maintenance is not adapted to this use. This could lead to either too much or too little maintenance is being performed in relation to the use of the equipment. When too much maintenance is performed, work and replacement of spare parts are performed when not needed which brings unnecessary costs for the company. At the same time, too little maintenance will instead lead to breakdowns when the machines are planned to be used, which could be very costly for the company. Because of this, Scania now wishes to proceed to determine the intervals for the preventive maintenance based on the production volume. The objective of the work was to develop methods and processes that describe how Scania's factories in Södertälje, within the framework of the Future Powertrain Program (FPP), will transition to a maintenance interval based on volume. These methods shall then be tested in two pilots, one pilot at Scania's axle and gearbox assembly and the other pilot at Scania's engine processing. To increase the project group's knowledge of subjects covered by the project, literature studies were carried out on reports, articles and in fact books. Literature studies were also performed during the course of the work on subjects that were not covered by the work's initial literature study. In addition to the literature study, a document study was also performed on the company's internal documents and included, among other things, the preparation process and instructions for Maximo, which is the maintenance system used at Scania. The project group also conducted interviews with staff at Scania IM and Scania during the work as the project members wanted to gain insight into the business and the existing ways of work. By delimiting the work, the focus has been on realizing the theory on a smaller area to investigate whether this transition is possible to implement. The selected pilot areas located at DT and DM were studied with regards to both organization and production equipment. These studies, together with the project groups literature study and document study, were then used when developing the methods. The methods developed within the project were tested in pilots on selected areas and equipment. The pilots that were carried out within the project were successful and the aim for Scania now is not to return to calendar-based maintenance but instead expand the use of themethods developed by this project. The result of this work is that a more accurate maintenance will be performed in relation to the calendar-based maintenance. The project group could also state that the safety in the workshops could be increased when applying the project's developed methods. This is because the maintenance performed on e.g. emergency stops or other safety functions are performed in relation to the use of the equipment. The methods developed within the project takes into account whether the equipment is covered by warranty or regulatory requirements. They also take into account the length of the PM and whether the PM includes routes, operator maintenance, periodic exchanges or security. These factors decides which measures needs to be taken on the calendar-controlled and volume-based PM, which results in an adapted and improved PM plan.
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Manchikanti, Kiran. "Performance-based winter maintenance." 2002. http://catalog.hathitrust.org/api/volumes/oclc/50102513.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2002.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 108-111).
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Books on the topic "Volume based maintenace"

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Agras, W. Stewart, and Athena Robinson. Introduction. Edited by W. Stewart Agras and Athena Robinson. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190620998.013.30.

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This chapter provides a brief introduction to and overview of the contents of the Handbook. Several issues are highlighted, including changes since the previous edition of this volume, namely, the revised Diagnostic and Statistical Manual (DSM-5); the research domain criteria (RDoC), and recent technological innovations such as Internet treatment and the use of virtual reality related to eating disorders. Chapters on selective eating, bariatric surgery, and cognitive remediation have also been added. Themes carried forward from the previous edition of the Handbook are presented in updated chapters reviewing etiological, maintenance, assessment, comorbidity, medical complications, and pharmacotherapy, as well as evidence-based prevention and treatment considerations.
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Servin, Frédérique S., and Valérie Billard. Anaesthesia for the obese patient. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0087.

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Obesity is becoming an epidemic health problem, and the number of surgical patients with a body mass index of more than 50 kg m−2 requiring anaesthesia is increasing. Obesity is associated with physiopathological changes such as metabolic syndrome, cardiovascular disorders, or sleep apnoea syndrome, most of which improve with weight loss. Regarding pharmacokinetics, volumes of distribution are increased for both lipophilic and hydrophilic drugs. Consequently, doses should be adjusted to total body weight (propofol for maintenance, succinylcholine, vancomycin), or lean body mass (remifentanil, non-depolarizing neuromuscular blocking agent). For all drugs, titration based on monitoring of effects is recommended. To minimize recovery delays, drugs with a rapid offset of action such as remifentanil and desflurane are preferable. Poor tolerance to apnoea with early hypoxaemia and atelectasis warrant rapid sequence induction and protective ventilation. Careful positioning will prevent pressure injuries and minimize rhabdomyolysis which are frequent. Because of an increased risk of pulmonary embolism, multimodal prevention is mandatory. Regional anaesthesia, albeit technically difficult, is beneficial in obese patients to treat postoperative pain and improve rehabilitation. Maximizing the safety of anaesthesia for morbidly obese patients requires a good knowledge of the physiopathology of obesity and great attention to detail in planning and executing anaesthetic management. Even in elective surgery, many cases can be technical challenges and only a step-by-step approach to the avoidance of potential adverse events will result in the optimal outcome.
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Gevaert, Sofie A., Eric Hoste, and John A. Kellum. Acute kidney injury. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0068.

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Acute kidney injury is a serious condition, occurring in up to two-thirds of intensive care unit patients, and 8.8-55% of patients with acute cardiac conditions. Renal replacement therapy is used in about 5-10% of intensive care unit patients. The term cardiorenal syndrome refers to combined heart and kidney failure; three types of acute cardiorenal syndrome have been described: acute cardiorenal syndrome or cardiorenal syndrome type 1, acute renocardiac syndrome or cardiorenal syndrome type 3, and acute cardiorenal syndrome type 5 (cardiac and renal injury secondary to a third entity such as sepsis). Acute kidney injury replaced the previously used term ‘acute renal failure’ and comprises the entire spectrum of the disease, from small changes in function to the requirement of renal replacement therapy. Not only failure, but also minor and less severe decreases, in kidney function are of clinical significance both in the short and long-term. The most recent definition for acute kidney injury is proposed by the Kidney Disease: Improving Global Outcomes clinical practice guidelines workgroup. This definition is a modification of the RIFLE and AKIN definitions and staging criteria, and it stages patients according to changes in the urine output and serum creatinine (see Tables 68.1 and 68.2). Acute kidney injury is a heterogeneous syndrome with different and multiple aetiologies, often with several insults occurring in the same individual. The underlying processes include nephrotoxicity, and neurohormonal, haemodynamic, autoimmune, and inflammatory abnormalities. The most frequent cause for acute kidney injury in intensive cardiac care patients are low cardiac output with an impaired kidney perfusion (cardiogenic shock) and/or a marked increase in venous pressure (acute decompensated heart failure). Predictors for acute kidney injury in these patients include: baseline renal dysfunction, diabetes, anaemia, and hypertension, as well as the administration of high doses of diuretics. In the intensive cardiac care unit, attention must be paid to the prevention of acute kidney injury: monitoring of high-risk patients, prompt resuscitation, maintenance of an adequate mean arterial pressure, cardiac output, and intravascular volume (avoidance of both fluid overload and hypovolaemia), as well as the avoidance or protection against nephrotoxic agents. The treatment of acute kidney injury focuses on the treatment of the underlying aetiology, supportive care, and avoiding further injury from nephrotoxic agents. More specific therapies have not yet demonstrated efficacy. Renal replacement therapy is indicated in life-threatening changes in fluid, electrolyte, and acid-base balance, but there are also arguments for more early initiation.
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Gevaert, Sofie A., Eric Hoste, and John A. Kellum. Acute kidney injury. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0068_update_001.

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Acute kidney injury is a serious condition, occurring in up to two-thirds of intensive care unit patients, and 8.8-55% of patients with acute cardiac conditions. Renal replacement therapy is used in about 5-10% of intensive care unit patients. The term cardiorenal syndrome refers to combined heart and kidney failure; three types of acute cardiorenal syndrome have been described: acute cardiorenal syndrome or cardiorenal syndrome type 1, acute renocardiac syndrome or cardiorenal syndrome type 3, and acute cardiorenal syndrome type 5 (cardiac and renal injury secondary to a third entity such as sepsis). Acute kidney injury replaced the previously used term ‘acute renal failure’ and comprises the entire spectrum of the disease, from small changes in function to the requirement of renal replacement therapy. Not only failure, but also minor and less severe decreases, in kidney function are of clinical significance both in the short and long-term. The most recent definition for acute kidney injury is proposed by the Kidney Disease: Improving Global Outcomes clinical practice guidelines workgroup. This definition is a modification of the RIFLE and AKIN definitions and staging criteria, and it stages patients according to changes in the urine output and serum creatinine (see Tables 68.1 and 68.2). Acute kidney injury is a heterogeneous syndrome with different and multiple aetiologies, often with several insults occurring in the same individual. The underlying processes include nephrotoxicity, and neurohormonal, haemodynamic, autoimmune, and inflammatory abnormalities. The most frequent cause for acute kidney injury in intensive cardiac care patients are low cardiac output with an impaired kidney perfusion (cardiogenic shock) and/or a marked increase in venous pressure (acute decompensated heart failure). Predictors for acute kidney injury in these patients include: baseline renal dysfunction, diabetes, anaemia, and hypertension, as well as the administration of high doses of diuretics. In the intensive cardiac care unit, attention must be paid to the prevention of acute kidney injury: monitoring of high-risk patients, prompt resuscitation, maintenance of an adequate mean arterial pressure, cardiac output, and intravascular volume (avoidance of both fluid overload and hypovolaemia), as well as the avoidance or protection against nephrotoxic agents. The treatment of acute kidney injury focuses on the treatment of the underlying aetiology, supportive care, and avoiding further injury from nephrotoxic agents. More specific therapies have not yet demonstrated efficacy. Renal replacement therapy is indicated in life-threatening changes in fluid, electrolyte, and acid-base balance, but there are also arguments for more early initiation.
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Book chapters on the topic "Volume based maintenace"

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Xin, Junchang, Teng Li, Pei Wang, and Zhiqiong Wang. "Routing Tree Maintenance Based on Trajectory Prediction in Mobile Sensor Networks." In Proceedings of ELM-2015 Volume 1, 409–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28397-5_32.

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Dong, Qi, Tingxue Xu, Jikun Yang, and Zhiheng Zhou. "Research on Nonlinear Optimization Problem Based on Genetic Algorithm Theory." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 527–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_58.

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Cong, Linhu, Tingxue Xu, Xiao Han, and Jikun Yang. "Research on Missile Sudden Fault Prediction Based on Mathematical Statistics." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 535–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_59.

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He, Lin, Jun Li, Cunbao Ma, and Yue Feng. "Health Monitoring of Aircraft Parameters Based on Statistical Process Control." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 463–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_51.

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Tian, Huaming, Baokuan Luan, and Hong Xue. "Test Analysis of Complex Electronic Equipment Based on Multisignal Model." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 481–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_53.

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Wang, Han, Hongkai Jiang, and Dong Guo. "Bearing Fault Diagnosis Based on EEMD and AR Spectrum Analysis." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 389–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_44.

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Dong, Huiru, Jiantai Zhu, Kai Zhu, and Yan Shi. "Maintainability Assessment of a Complex System Based on Field Data." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 423–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_47.

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Raabe, Håkon, Odd Myklebust, and Ragnhild Eleftheriadis. "Vision Based Quality Control and Maintenance in High Volume Production by Use of Zero Defect Strategies." In Lecture Notes in Electrical Engineering, 405–12. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5768-7_43.

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Zhun, Jiao, and Zhang Rong. "Synthesis Based on Genetic Algorithm Parameters in Air Engine Fault Monitoring." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 101–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_12.

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Gao, Zehai, and Dong Song. "Research of Aircraft Fuel System Feeding Failure Based on Flowmaster Simulation." In Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I, 45–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54236-7_6.

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Conference papers on the topic "Volume based maintenace"

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Xiaomei Hu, Wenhua Zhu, Hongxia Cai, and Tao Yu. "A consistency maintenance algorithm based on time bounding volume in CVE systems." In 2008 International Conference on Information and Automation (ICIA). IEEE, 2008. http://dx.doi.org/10.1109/icinfa.2008.4608302.

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Flanagan, Michael A., Carsten Andersson, and Peter Surland. "Effective Automatic Expert Systems for Dynamic Predictive Maintenance Applications." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-064.

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As the need for specialist decision-making has increased with the volume of data produced by modern monitoring systems, and the current trend towards downsizing and external sourcing (for example, specialist consultant companies) has continued, the demand for computer-based expert systems for automatic machine condition (vibration and process) analysis and diagnosis has intensified. Various levels of success have been achieved, but most expert systems available today do not reflect the actual reasoning process of a human expert; are inherently obsolete for the continuous learning capability required for dynamic applications; and/or require considerable skills in computer simulation or statistical methods to update the system. In this paper, new techniques and tools are presented that address the basic elements in the reasoning process of a human expert, and offer solutions to the practical implementation of effective and reliable automatic machine diagnosis. Essential tools for optimum automatic spectrum analysis are first introduced, and then a method presented that allows system results to be automatically qualified and improved upon to reflect actual machine conditions. The paper then introduces neural-network technology as a means of implementing a workable, user-defined knowledge base that can be used to augment the expert system with the user’s own knowledge and experience, and the idiosyncrasies of individual machines.
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Cheng, David. "Instructive Value of Flow Assurance Assessment Based J-Curve Analysis on Pipeline Maintenance and Operation." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78660.

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This paper develops an optimization concept based on J-curve analysis in pipeline system design as a tool in the quantitative evaluation of pipeline operation efficiency and maintenance decisions. The method includes the creation of the J-curve (total Capex and Opex per unit volume versus the pipeline flow rate) of the as build system without maintenance, the improvement or changing of the J-curve after maintenance goal is achieved, and the return of expenditure curve of the maintenance at different flow rate based on the current commodity market price. The J-curve improvement and the return of expenditure curve will show the efficiency of the maintenance activities as basis for their priority and necessity. The return curve also help to set up the range of optimized flow rates that the pipeline should be operated at given the market price status. The creation of J-curve is based on the pipeline performance hydraulics model bench marked with pipeline measurement data.
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Liu, Bowen, Hong Lu, Zidong Wu, Shuo Li, and Qiong Liu. "Detection Scheme of Volume of Repair of Engineering Equipment Based on Line Structured Light." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8237.

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Abstract When the body, main support and other large metal parts are damaged, welding or surfacing is generally used as the repair method. Measuring volume of repair is a key step before welding repair, because former provides relevant parameters for latter. Line structured light detection is a fast and convenient machine vision detection method, which is suitable for detection tasks in various complex environments and satisfies the requirements of volume of repair of engineering equipment detection. This paper designs a scheme based on line structured light. In this scheme, the parameters of welding repair are obtained by several steps, such as scanning, image processing, light strip center extraction and trend points extraction. Compared with other common methods, this scheme has the advantages of fast detection, easy operation, high cost-performance ratio and easy expansion. especially in combination with welding robots, it can greatly improve the level of automation and reduce the maintenance time.
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Lapira, Edzel R., Amit Deshpande, Jay Lee, and John Snyder. "Smart Machine Health and Maintenance: Tool Assembly Prognostics." In ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASMEDC, 2008. http://dx.doi.org/10.1115/msec_icmp2008-72314.

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It is well-established that unbalance in tool assembly causes excessive loads on spindle bearings and tool wear and increased vibration levels. However, in the days where high-speed machining (HSM) has become a common practice in the manufacturing industry, methodologies to measure tool assembly unbalance are not developed. In HSM the effects are worse, as the unbalance force is directly proportional to square of the spindle speed. Common practice in industry is to balance the tool assembly either with in-house balancing machines or use third-party balancing services after every batch cycle. This paper describes a data-driven methodology that detects the presence of unbalance in a tool assembly relative to the tools with known balance levels. The unbalance detection prognostic application developed as part of the Smart Machine Platform Initiative (SMPI) checks for the threshold unbalance level in the tool assembly for the given machining requirements before the start of any run. This approach uses statistical tools and a supervised learning algorithm based on the Watchdog Agent® toolbox developed by the Center for Intelligent Maintenance Systems. The proposed research finds high applicability in high-precision manufacturing operations involving high-volume production.
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Li, Sheng, and Cliff J. Lissenden. "Modeling Ultrasonic Guided Wave Generation From Piezoelectric Fiber Composite Strip Actuators." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3771.

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Structural health monitoring (SHM) and condition based maintenance (CBM) are keys to shifting the paradigm from schedule based maintenance to cost effective operation and maintenance of reliable systems. Continuous comb transducer strips have the potential to generate ultrasonic guided waves for structural health monitoring of plate and shell structures (pipelines, pressure vessels, storage tanks, airframes). A theoretically driven approach, based on the application of wave mechanics principles, is used to research and design a network of strip sensor. Fibrous piezoelectric composites are considered for the comb elements, widely expanding the design space of these elements to include fiber orientation and volume fraction in addition to size, configuration, and location of the electrodes. Piezoelectric and mechanical properties for these innovative sensor designs are estimated through micromechanical modeling. Specifically, micromechanics enables us to consider different fiber orientations and constituent properties and provides the composite properties for input to finite element analysis of wave propagation. Finite element simulations of ultrasonic guided wave generation and propagation using Abaqus Explicit-Standard Co-Simulation are conducted in order to design the sensory system.
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Bezdikian, Georges. "Reactor Pressure Vessel and Reactor Coolant Circuit Cast Duplex Stainless Steel Components: Contribution of the Expertise for Life Management Studies." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93403.

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The life management of French Nuclear Power Plants is a major stake from an economic and a technical point of view considering the aging management assessment of the key components of the plant. The actual life evaluation is the results of prediction of life assessment from important program of expertises for the 3-loop PWR and 4-loop PWR plants in operation. To optimize the strategic in order to achieve the best possible performance and to prepare the technical and economical choice and decision, the paper presents the association of life management strategy and the program of expertises considering: • the identification of degradation for different components and prediction criteria proposed, • the large database from cast reactor coolant and component removed from nuclear power plants and expertised to confirm the prediction, • the life evaluation of RPV with radiation surveillance program based on the expertises of irradiation capsules, it is particularly shown how the expertise is in the center of the strategic choice. The French utility has organized the life management of Nuclear Plant in function of several program of expertises of knowledge on the long term experience feedback and the maintenance program for life. This paper shows updated on RPV and reactor coolant equipments activities engaged by utility on: • periodic maintenance and volume of expertise, • Alternative maintenance actions, • Large volume of expertises and how are managed these results to predict the aging management.
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Bezdikian, Georges. "Nuclear PWR Plants: Managing the Expertises of Cast Components Removed From Reactor Coolant Circuit." In ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61551.

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The French utility has organized the aging degradation assessment for nuclear plants in operation in maximum safety rules. Also the utility decided to engaged large program of expertises, for each degradations identified, based on research and development activities and prediction criteria program of Nuclear Plants in function of several actions: expertises, data bases on characteristics, etc. This paper shows the expertise results and thermal aging for cast duplex stainless steel studies on reactor coolant circuit components engaged to evaluate and to monitor the toughness evaluation and increasing factor. Also this paper presents the strategy associated. This paper shows the applications were evolved for 3-loop PWR plants. The monitoring was mainly oriented on evaluation of the ratio computation and measurement. This integrity assessment and expertises results values available periodically were performed considering: • the life evaluation of the plants and alternative maintenance actions, • the large database from cast reactor coolant component assessed after removed from nuclear power plants, • the identification of degradation for different components and prediction criteria proposed. The results obtained are updated in the periodic maintenance program and in volume of expertise database for life management.
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Fang, Zhou, Zhe Wang, and Guanghai Li. "Research on Implementation Method and Technical Application of Risk Assessment to Storage Tank at National Petroleum Reserves." In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21151.

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Abstract The inspection method based on risk was studied about 23 large tanks of a national strategic oil reserve base, which was a relatively large research work, because the tank inspection was a non-statutory inspection that received little attention, and the risk assessment method of large oil storage tanks in the actual project application was not mature enough. The basic information of 23 nominal volume one hundred thousand cubic meters crude oil tank was collected and sorted. 23 storage tanks under the application of risk assessment are all aboveground atmospheric storage tanks. 23 storage tanks are all floating-roof tanks, whose host materials include SPV490Q, 16MnR, Q235-B, and Q235-A; the containing medium for storage tank are crude oil, and time-to-use starts from August 2006 to April 2007. The implementation process of tank risk assessment was described, and the process of implementing risk assessment was described in detail. The method of risk trend analysis is studied, and the routine maintenance and maintenance suggestions are given. The results show that the risk assessment method for the tank can be implemented, and has been recognized by the tank management unit, providing a rare real case.
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Masuo, Christopher, Andrzej Nycz, Mark W. Noakes, Jared Bell, Justin Killian, Chandler Oakley, and William R. Hamel. "Torch End-Effector and TIG Electrode Changeout Design for a TIG Welding Robot Used in Metal Big Area Additive Manufacturing." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86726.

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Metal Big Area Additive Manufacturing (mBAAM) is a promising approach to large-scale metal additive manufacturing (AM) or 3D printing. The mBAAM system uses an arc-based wire-fed welding robot to build metal parts. A multi-degree-of-freedom robotic arm is known for its extensive range of motion and reliable tool handling. Attaching a torch end-effector to a robotic arm gives it welding capabilities; however, this decreases the motion range and dynamics of the robot. As a result, build volume and printing accuracy are decreased. Additionally, only a portion of time is spent printing in an arc-based process. Maintenance leads to downtime on the system. In a tungsten inert gas (TIG)-based process, the torch electrode wears out over time and must be changed to avoid defective deposition. This paper proposes an approach for a compact torch end-effector to improve the robot’s build volume. This paper also proposes an approach to reducing non-printing process time by designing and implementing a semi-automated electrode changing system.
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Reports on the topic "Volume based maintenace"

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Zhang, Zhibo, Samuel Labi, Jon D. Fricker, and Kumares C. Sinha. Strategic Scheduling of Infrastructure Repair and Maintenance: Volume 2—Developing Condition-Based Triggers for Bridge Maintenance and Rehabilitation Treatments. Purdue University, May 2018. http://dx.doi.org/10.5703/1288284316512.

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Qiao, Yu, Jon D. Fricker, Samuel Labi, and Kumares C. Sinha. Strategic Scheduling of Infrastructure Repair and Maintenance: Volume 3—Developing Condition-Based Triggers for Pavement Maintenance, Rehabilitation, and Replacement Treatments. Purdue University, May 2018. http://dx.doi.org/10.5703/1288284316513.

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Al-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck-Platoonable Pavement Sections in Illinois’ Network. Illinois Center for Transportation, February 2021. http://dx.doi.org/10.36501/0197-9191/21-002.

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Truck platooning has many benefits over traditional truck mobility. Literature shows that platooning improves safety and reduces fuel consumption between 5% and 15% based on platoon configuration. In Illinois, trucks carry more than 50% of freight tonnage and constitute 25% of the traffic on interstates. Deployment of truck platooning within interstate highways would result in significant fuel savings, but may have a direct impact on flexible pavement performance. The channelization of the platoon and reduced rest time between consecutive loads would accelerate the damage accumulation at the channelized position. Ultimately, this would lead to pavement service life reduction and a subsequent increase in maintenance and rehabilitation costs. Therefore, the main objective of this project is to quantify the effects of platooning on flexible pavements and provide guidelines for the state of Illinois by considering the aforementioned factors. Although the benefits of platooning are quantifiable, not every truck route is platoonable. For efficient platooning, trucks need to travel at a constant high speed for extended distances. The integrity of the platoon should be preserved because interfering vehicles would compromise the platooning benefits and road safety. An introduced high-level approach considers the volume/capacity of a roadway and the expected number of highway exit and entry conflicts. Using these parameters, each roadway section is assigned a level of platoonability, ranging from one to five—with five being the highest. A framework was developed to analyze the Illinois highway network. It was found that 89% of the network highway is platoonable under average capacity conditions.
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