Condition-Based Maintenance Planning for Systems Subject to Dependent Soft and Hard Failures
IEEE Transactions on Reliability, 2021 Most systems can fail in multiple ways, and the failure modes are usually positively correlated. This phenomenon complicates the reliability analysis and makes the corresponding maintenance planning challenging.
Jiawen Hu, Qiuzhuang Sun, Z. Ye
semanticscholar +1 more source
Preventive maintenance model analysis on wind-turbine gearbox under stochastic disturbance
Energy Reports, 2022 In recent, with the rapid scientific and technical developments, condition-based maintenance(CBM) has already been broadly applied in modern large-scale wind plants increasingly and reported that tremendous achievements are gained.
Li Chen, Hongsheng Su, Lanlan Huangfu
doaj +1 more source
Condition-based maintenance at both scheduled and unscheduled opportunities [PDF]
, 2016 Motivated by original equipment manufacturer (OEM) service and maintenance practices we consider a single component subject to replacements at failure instances and two types of preventive maintenance opportunities: scheduled, which occur due to periodic
Kalosi, Szilard +2 more
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Clustering of Condition-Based Maintenance Activities with Imperfect Maintenance and Predication Signals [PDF]
International Journal of Industrial Engineering and Production Research, 2022 Condition-based maintenance (CBM) is a well-known maintenance cost minimization strategy in which maintenance activities are performed based on the actual state of the system being maintained.
Hasan Rasay +2 more
doaj
Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations
Applied Sciences, 2021 Continuous wheel condition monitoring is indispensable for the early detection of wheel defects. In this paper, we provide an approach based on cepstral analysis of axle-box accelerations (ABA).
Benjamin Baasch +3 more
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Genetic algorithms for condition-based maintenance optimization under uncertainty [PDF]
, 2015 International audienceThis paper proposes and compares different techniques for maintenance optimization based on Genetic Algorithms (GA), when the parameters of the maintenance model are affected by uncertainty and the fitness values are represented by ...
Compare, M, Martini, F., Zio, E.
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A Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance
International Journal of Prognostics and Health ManagementWhile most industrial maintenance strategies are centered on optimizing machine runtime and cost reduction, the condition-based maintenance (CBM) strategy distinguishes itself from others in its use of real-time operational data from machines to help ...
Tyler Ward +3 more
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Unlocking the Potential of Soft Computing for Predicting Lubricant Elemental Spectroscopy
Lubricants, 2023 Predictive maintenance of mechanical systems relies on accurate condition monitoring of lubricants. This study assesses the performance of soft computing models in predicting the elemental spectroscopy (Fe, Pb, Cu, Cr, Al, Si, and Zn) of engine ...
Mohammad-Reza Pourramezan +2 more
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Mobile Maintenance Management [PDF]
, 2006 The paper gives a short overview of the enabling tools and technology available to the maintenance engineer in manufacturing industry, in relation to the emergence of e-maintenance practices and the introduction of mobile computing devices.
Arnaiz, Aitor +3 more
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A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies [PDF]
, 2016 CBM (Condition Based Maintenance) solutions are increasingly present in industrial systems due to two main circumstances: rapid evolution, without precedents, in the capture and analysis of data and significant cost reduction of supporting ...
Crespo Márquez, Adolfo +3 more
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