Spar
Data-Driven Remaining Useful Life Prognosis Techniques
Forfatter:
heftet, 2018
Engelsk
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.
- Undertittel
- Stochastic Models, Methods and Applications
- Forfatter
- Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu
- Opplag
- Softcover reprint of the original 1st ed. 2017
- ISBN
- 9783662571736
- Språk
- Engelsk
- Vekt
- 310 gram
- Utgivelsesdato
- 13.7.2018
- Antall sider
- 430
