Abstract
Degradation information regarding the system’s health state, especially from highly reliable items, has been a useful alternative for the system’s remaining useful life (RUL) estimation, as well as a valuable basis for condition based maintenance (CBM). Once the degradation information of a system is available by the degradation test, one well-recognized method is to establish a stochastic degradation model to predict the distributions of the future degradation and the associated lifetime, based on the relationship between the degradation and failure time.
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Si, XS., Zhang, ZX., Hu, CH. (2017). Planning Repeated Degradation Testing for Degrading Products. In: Data-Driven Remaining Useful Life Prognosis Techniques. Springer Series in Reliability Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54030-5_2
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DOI: https://doi.org/10.1007/978-3-662-54030-5_2
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