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An Adaptive Remaining Useful Life Estimation Approach with a Recursive Filter

In: Data-Driven Remaining Useful Life Prognosis Techniques

Author

Listed:
  • Xiao-Sheng Si

    (Xi’an Institute of High-Technology)

  • Zheng-Xin Zhang

    (Xi’an Institute of High-Technology)

  • Chang-Hua Hu

    (Xi’an Institute of High-Technology)

Abstract

Enhancing safety, efficiency, availability, and effectiveness of industrial and military systems through prognostics and health management (PHM) paradigm has gained momentum over the last decade (Pecht, Prognostics and health management of electronics, 2008, [1]; Si et al., Eur J Oper Res 213:1–14, 2011, [2]). PHM is a systematic approach that is used to evaluate the reliability of a system in its actual life cycle conditions, predict failure progression, and mitigate operating risks via management actions.

Suggested Citation

  • Xiao-Sheng Si & Zheng-Xin Zhang & Chang-Hua Hu, 2017. "An Adaptive Remaining Useful Life Estimation Approach with a Recursive Filter," Springer Series in Reliability Engineering, in: Data-Driven Remaining Useful Life Prognosis Techniques, chapter 0, pages 73-102, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-662-54030-5_4
    DOI: 10.1007/978-3-662-54030-5_4
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