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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications

Posted By: AvaxGenius
Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications

Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications by Xiao-Sheng Si
English | PDF,EPUB | 2017 | 436 Pages | ISBN : 3662540282 | 23.8 MB

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail.