Advances in Data-Driven RUL Prognosis Techniques

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 1 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 3-21 from Springer

Abstract: Abstract Prognosis and health management (PHM) has drawn increasing attention and gained deepening recognition and widening applications during the past decades (Sandborn and Pecht, Microelectron Reliab 47(12):1847–1848, 2007, [1]; Dolev, IEEE Trans Reliab 58(2):262–263, 2009, [2]; Lau and Fong, Microelectron Reliab 51(2):253–254, 2011, [3]; Wang, IEEE Trans Reliab 60(1):2, 2011, [4]). Actually, the initial health and usage inspection system was first equipped in the early helicopters of US military, and the synthetically health management philosophy was presented for spacecraft in the 1970s.

Keywords: Degradation Process; Change Point; Lifetime Data; Degradation Model; Remain Useful Life (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_1

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DOI: 10.1007/978-3-662-54030-5_1

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