Prognostics and Health Management for Maintenance Practitioners - Review, Implementation and Tools Evaluation

Vepa Atamuradov, Kamal Medjaher, Pierre Dersin, Benjamin Lamoureux, and Noureddine Zerhouni
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Publication Issue: 
Special Issue on Railways & Mass Transportation
Submission Type: 
Full Paper
ijphm_17_060.pdf3.22 MBDecember 11, 2017 - 11:05am

In literature, prognostics and health management (PHM) systems have been studied by many researchers from many different engineering fields to increase system reliability, availability, safety and to reduce the maintenance cost of engineering assets. Many works conducted in PHM research concentrate on designing robust and accurate models to assess the health state of components for particular applications to support decision making. Models which involve mathematical interpretations, assumptions and approximations make PHM hard to understand and implement in real world applications, especially by maintenance practitioners in industry. Prior knowledge to implement PHM in complex systems is crucial to building highly reliable systems. To fill this gap and motivate industry practitioners, this paper attempts to provide a comprehensive review on PHM domain and discusses important issues on uncertainty quantification, implementation aspects next to prognostics feature and tool evaluation. In this paper, PHM implementation steps consist of; (1) critical component analysis, (2) appropriate sensor selection for condition monitoring (CM), (3) prognostics feature evaluation under data analysis and (4) prognostics methodology and tool evaluation matrices derived from PHM literature. Besides PHM implementation aspects, this paper also reviews previous and on-going research in high-speed train bogies to highlight problems faced in train industry and emphasize the significance of PHM for further investigations.

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Submission Keywords: 
prognostics and health management (PHM)
predictive maintenance
system-level PHM
component-level PHM
PHM approaches
Prognostics tools evaluation
Bogie components monitoring
PHM of Bogie
Submission Topic Areas: 
Health management system design and engineering
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