Data-driven remaining useful life prognosis techniques: stochastic models, methods and applications
Auteur :
Si, Xiao-Sheng / Zhang, Zheng-Xin / Hu, Chang-Hua
Éditeur :
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN :
9783662571736
Date de publication :
13 juil. 2018
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Allemagne
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.