Prognostics for Nonlinear Degrading Systems with Three-Source Variability

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 11 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 313-336 from Springer

Abstract: Abstract Thanks to the rapid development of information and sensing technologies, the degradation signals of a system can be obtained relatively easily using CM techniques, and the past decade has witnessed an increasingly growing research interest on the RUL estimate of systems based on the sensed degradation signals [1, 2].

Date: 2017
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DOI: 10.1007/978-3-662-54030-5_11

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