Online Monitoring and Prognostics for Passive Components in Nuclear Power Plants

Journal Article · Mon Feb 01 00:00:00 EST 2016 · Nuclear Science and Engineering

DOI:https://doi.org/10.13182/NSE14-127· OSTI ID:1337263

Ramuhalli, Pradeep; Roy, Surajit; Chai, Jangbom

This paper describes research towards developing prognostics technologies for light-water nuclear power reactors components. The focus of this paper is on passive components (those that do not need to change state or move to perform their function), though the technologies are applicable to other classes of components as well. A prototypic failure mechanism (high-cycle fatigue) is used to focus the efforts and provide context for the development effort. A Bayesian framework is proposed for the prognostics of remaining useful life, and applied to simulated data sets representing nondestructive measurements of high-cycle fatigue damage. Initial results of prognostics, based on simulated data sets are presented.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1337263
• Report Number(s): PNNL-SA-106562; 600301020
• Journal Information: Nuclear Science and Engineering, Vol. 182, Issue 2; ISSN 0029-5639
• Publisher: American Nuclear Society
• Country of Publication: United States
• Language: English