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A review of condition-based maintenance: Its prognostic and operational aspects

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Abstract

Condition-based maintenance (CBM) detects early signs of failure and dictates when maintenance should be performed based on the actual condition of a system. In this paper, we first review some of the recent research on CBM under various physical structures and signal data. Then, we summarize several kinds of prognostic models that use monitoring information to estimate the reliability of complex systems or products. Monitoring information also facilitates operational decisions in production planning, spare parts management, reliability improvement, and prognostics and health management. Finally, we suggest some research opportunities for the reliability and operations management communities to fill the research gap between these two fields.

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Authors and Affiliations

  1. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, 200030, China

    Yanrong Li, Shizhe Peng & Wei Jiang

  2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China

    Yanting Li

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  1. Yanrong Li
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  2. Shizhe Peng
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  3. Yanting Li
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Correspondence to Wei Jiang.

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This work is supported by National Natural Science Foundation of China under grants 71531010 and 71831006.

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Li, Y., Peng, S., Li, Y. et al. A review of condition-based maintenance: Its prognostic and operational aspects. Front. Eng. Manag. 7, 323–334 (2020). https://doi.org/10.1007/s42524-020-0121-5

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