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 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 se…
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Produktdetails
Weitere Autoren: Zhang, Zheng-Xin / Hu, Chang-Hua
- ISBN: 978-3-662-54028-2
- EAN: 9783662540282
- Produktnummer: 21703521
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 430 S.
- Masse: H23.5 cm x B15.5 cm 7'922 g
- Auflage: 1st ed. 2017
- Abbildungen: Farb., s/w. Abb.
- Gewicht: 7922
- Sonstiges: Research
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