Estimating RUL with Three-Source Variability in Degradation Modeling
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 6 in Data-Driven Remaining Useful Life Prognosis Techniques, 2017, pp 143-180 from Springer
Abstract:
Abstract Prognostics and health management (PHM) can make full use of condition monitoring (CM) data from a functioning system to assess the reliability of the system in its actual life-cycle conditions
Keywords: Degradation Model; Remaining Useful Life (RUL); Constant Drift Coefficient; Measurable Degradation; Inertial Platform (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_6
Ordering information: This item can be ordered from
http://www.springer.com/9783662540305
DOI: 10.1007/978-3-662-54030-5_6
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 ().