Planning Repeated Degradation Testing for Degrading Products

Xiao-Sheng Si (), Zheng-Xin Zhang and Chang-Hua Hu
Additional contact information
Xiao-Sheng Si: Xi’an Institute of High-Technology
Zheng-Xin Zhang: Xi’an Institute of High-Technology
Chang-Hua Hu: Xi’an Institute of High-Technology

Chapter Chapter 2 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 23-37 from Springer

Abstract: Abstract Degradation information regarding the system’s health state, especially from highly reliable items, has been a useful alternative for the system’s remaining useful life (RUL) estimation, as well as a valuable basis for condition based maintenance (CBM). Once the degradation information of a system is available by the degradation test, one well-recognized method is to establish a stochastic degradation model to predict the distributions of the future degradation and the associated lifetime, based on the relationship between the degradation and failure time.

Keywords: Wiener Process; Fisher Information Matrix; Test Plan; Cumulative Density Function; Lifetime Distribution (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-662-54030-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9783662540305

DOI: 10.1007/978-3-662-54030-5_2

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().