Prognostics for Age- and State-Dependent Nonlinear Degrading Systems
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 8 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 217-246 from Springer
Abstract:
Abstract Prognostics and health management (PHM) has been proved to be an effective methodology for improving reliability and reducing the operation risk of technological systems via management actions [1].
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-662-54030-5_8
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DOI: 10.1007/978-3-662-54030-5_8
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