An Adaptive Remaining Useful Life Estimation Approach with a Recursive Filter

Xiao-Sheng Si (), Zheng-Xin Zhang and Chang-Hua Hu
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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

Chapter Chapter 4 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 73-102 from Springer

Abstract: 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.

Keywords: Remaining Useful Life (RUL); Observed Degradation Data; Inertial Platform; Drift Coefficient; Actual RUL (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-662-54030-5_4

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DOI: 10.1007/978-3-662-54030-5_4

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