February 15, 2016
Journal Article

Online Monitoring and Prognostics for Passive Components in Nuclear Power Plants

Abstract

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.

Revised: December 15, 2016 | Published: February 15, 2016

Citation

Ramuhalli P., S. Roy, and J. Chai. 2016. Online Monitoring and Prognostics for Passive Components in Nuclear Power Plants. Nuclear Science and Engineering 182, no. 2:228-242. PNNL-SA-106562. doi:10.13182/NSE14-127