Data-driven remaining useful life prognosis techniques : stochastic models, methods and applications

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...

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Bibliographic Details
Main Authors Si, Xiao-Sheng (Author), Zhang, Zheng-Xin (Author), Hu, Chang-Hua (Author)
Format Electronic eBook
LanguageEnglish
Published Berlin, Germany : Springer, 2017.
SeriesSpringer series in reliability engineering.
Subjects
Online AccessPlný text

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