Time-Dependent Reliability Analysis in Operation: Prognostics and Health Management
Chao Hu (),
Byeng D. Youn () and
Pingfeng Wang ()
Additional contact information
Chao Hu: Iowa State University
Byeng D. Youn: Seoul National University
Pingfeng Wang: University of Illinois at Urbana–Champaign
Chapter Chapter 8 in Engineering Design under Uncertainty and Health Prognostics, 2019, pp 233-301 from Springer
Abstract:
Abstract Over the past few decades, rapid adoption of sensing, computing, and communications technologies has created one of the key capabilities of modern engineered systems: the ability to—at a low cost—to gather, store, and process large volumes of sensor data from an engineered system during operation.
Keywords: Time-dependent Reliability Analysis; Remaining Useful Life (RUL); Piezoelectric Energy Harvesting; Prognostic Health; Relevance Vector Machine (RVM) (search for similar items in EconPapers)
Date: 2019
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:978-3-319-92574-5_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319925745
DOI: 10.1007/978-3-319-92574-5_8
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 ().