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Advances in Data-Driven RUL Prognosis Techniques

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

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.

Suggested Citation

  • Xiao-Sheng Si & Zheng-Xin Zhang & Chang-Hua Hu, 2017. "Advances in Data-Driven RUL Prognosis Techniques," Springer Series in Reliability Engineering, in: Data-Driven Remaining Useful Life Prognosis Techniques, chapter 0, pages 3-21, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-662-54030-5_1
    DOI: 10.1007/978-3-662-54030-5_1
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    Cited by:

    1. Pang, Zhenan & Si, Xiaosheng & Hu, Changhua & Du, Dangbo & Pei, Hong, 2021. "A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    2. Yi-Jhen Wu & Yi-Hsin Chen & Sarah M. Kiefer & Claus H. Carstensen, 2021. "Learning Strategies as Moderators Between Motivation and Mathematics Performance in East Asian Students: Latent Class Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    3. repec:eur:ejfejr:25 is not listed on IDEAS

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