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Title: Diagnostic and Prognostic Tools for Residual Life Estimation in Aging Nuclear Power Plant Components

Abstract

A central issue in life extension for the current fleet of light water nuclear power reactors (LWR) is the early detection and monitoring of significant materials degradation. To meet this need, nondestructive methods that are suitable for continuous monitoring over extended time periods (months to years) are needed. A related issue is the ability to estimate remaining useful life (RUL) of components and systems based on condition assessment or degradation information. Monitoring for early detection of materials degradation requires novel sensors and enhanced data integration techniques. A range of acoustic and electromagnetic measurement methods may be suitable, including acoustic microscopy, eddy current and magnetic Barkhausen emission. Prognostic methods that predict rate of degradation and remaining life based on phenomena that can be described by linear elastic fracture mechanics have been reported by several researchers. However, the challenge of predicting remaining life starting from earlier phases of degradation is largely unsolved. This paper discusses an assessment of selected diagnostic techniques, and the application of Bayesian prognostic algorithms to detection of early degradation and rate of degradation/life prediction. Such measurement and modeling methods are expected to form the basis for a new range of advanced diagnostic and prognostic approaches for assessing andmore » monitoring life extension of ageing light water reactors.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1118125
Report Number(s):
PNNL-SA-74807
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Review of Progress in Quantitative Nondestructive Evaluation (QNDE 2010), July 18-23, San Diego, California, AIP Conference Proceedings, 1335:1467
Country of Publication:
United States
Language:
English
Subject:
diagnostics; prognostics; life extension; nuclear power plants; reactor aging management; sustainable nuclear power

Citation Formats

Ramuhalli, Pradeep, Bond, Leonard J., Griffin, Jeffrey W., Henager, Charles H., and Dixit, Mukul. Diagnostic and Prognostic Tools for Residual Life Estimation in Aging Nuclear Power Plant Components. United States: N. p., 2011. Web. doi:10.1063/1.3592104.
Ramuhalli, Pradeep, Bond, Leonard J., Griffin, Jeffrey W., Henager, Charles H., & Dixit, Mukul. Diagnostic and Prognostic Tools for Residual Life Estimation in Aging Nuclear Power Plant Components. United States. https://doi.org/10.1063/1.3592104
Ramuhalli, Pradeep, Bond, Leonard J., Griffin, Jeffrey W., Henager, Charles H., and Dixit, Mukul. Thu . "Diagnostic and Prognostic Tools for Residual Life Estimation in Aging Nuclear Power Plant Components". United States. https://doi.org/10.1063/1.3592104.
@article{osti_1118125,
title = {Diagnostic and Prognostic Tools for Residual Life Estimation in Aging Nuclear Power Plant Components},
author = {Ramuhalli, Pradeep and Bond, Leonard J. and Griffin, Jeffrey W. and Henager, Charles H. and Dixit, Mukul},
abstractNote = {A central issue in life extension for the current fleet of light water nuclear power reactors (LWR) is the early detection and monitoring of significant materials degradation. To meet this need, nondestructive methods that are suitable for continuous monitoring over extended time periods (months to years) are needed. A related issue is the ability to estimate remaining useful life (RUL) of components and systems based on condition assessment or degradation information. Monitoring for early detection of materials degradation requires novel sensors and enhanced data integration techniques. A range of acoustic and electromagnetic measurement methods may be suitable, including acoustic microscopy, eddy current and magnetic Barkhausen emission. Prognostic methods that predict rate of degradation and remaining life based on phenomena that can be described by linear elastic fracture mechanics have been reported by several researchers. However, the challenge of predicting remaining life starting from earlier phases of degradation is largely unsolved. This paper discusses an assessment of selected diagnostic techniques, and the application of Bayesian prognostic algorithms to detection of early degradation and rate of degradation/life prediction. Such measurement and modeling methods are expected to form the basis for a new range of advanced diagnostic and prognostic approaches for assessing and monitoring life extension of ageing light water reactors.},
doi = {10.1063/1.3592104},
url = {https://www.osti.gov/biblio/1118125}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {6}
}

Conference:
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