Data-Driven Remaining Useful Life Prognosis Techniques Stochastic Models, Methods and Applications

Data-Driven Remaining Useful Life Prognosis Techniques Stochastic Models, Methods and Applications / by Xiao-Sheng Si, Zheng-Xin Zhang, Chang-Hua Hu.

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Bibliographic Details
Main Authors:	Si, Xiao-Sheng (Author), Zhang, Zheng-Xin (Author), Hu, Chang-Hua (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017.
Edition:	1st ed. 2017.
Series:	Springer Series in Reliability Engineering, Springer eBook Collection.
Subjects:	Quality control. Reliability. Industrial safety. Probabilities. Operations research. Decision making. Statistics . Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

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Call Number:	E-Book
Copy 1	Available