Data-Driven Remaining Useful Life Prognosis Techniques
Chang-Hua Hu, Xiao-Sheng Si, Zheng-Xin Zhang
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2018
211,75 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9783662571736
- ISBN-10
- 3662571730
- Publisher
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Year
- 2018
- Publication date
- 2018-07-13
- Pages
- 430
- Dimensions
- 235x155x