Ebook: Data-Driven Remaining Useful Life Prognosis Techniques Stochastic Models, Methods and Applications
Author: Hu Chang-Hua, Si Xiao-Sheng, Zhang Zheng-Xin
- Tags: (BIC subject category)KJT, (BIC subject category)PBT, (BIC subject category)TGPR, (BISAC Subject Heading)BUS049000, (BISAC Subject Heading)MAT029000, (BISAC Subject Heading)TEC032000, (BISAC Subject Heading)TGPR, Brownian motion, Degradation process, Expectation maximization, Linear stochastic degrading systems, Markov process, Nonlinear stochastic degrading systems, (Produktform)Paperback / softback, Prognostics and health management, Remaining useful life prognosis, (Springer Nature Marketing Classification)B
- Series: Springer Series in Reliability Engineering
- Year: 2017
- Publisher: Springer
- City: Berlin
- Edition: 1st edition
- Language: English
- pdf
Download the book Data-Driven Remaining Useful Life Prognosis Techniques Stochastic Models, Methods and Applications for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)