Xiao-Sheng Si / Chang-Hua Hu / Zheng-Xin Zhang
Data-Driven Remaining Useful Life Prognosis Techniques
- Springer Berlin Heidelberg
- 2017
- Gebunden
- 448 Seiten
- ISBN 9783662540282
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. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as
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