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Title: Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).

Abstract

The overall goal of this joint research project was to develop and demonstrate advanced sensors and computational technology for continuous monitoring of the condition of components, structures, and systems in advanced and next-generation nuclear power plants (NPPs). This project included investigating and adapting several advanced sensor technologies from Korean and US national laboratory research communities, some of which were developed and applied in non-nuclear industries. The project team investigated and developed sophisticated signal processing, noise reduction, and pattern recognition techniques and algorithms. The researchers installed sensors and conducted condition monitoring tests on two test loops, a check valve (an active component) and a piping elbow (a passive component), to demonstrate the feasibility of using advanced sensors and computational technology to achieve the project goal. Acoustic emission (AE) devices, optical fiber sensors, accelerometers, and ultrasonic transducers (UTs) were used to detect mechanical vibratory response of check valve and piping elbow in normal and degraded configurations. Chemical sensors were also installed to monitor the water chemistry in the piping elbow test loop. Analysis results of processed sensor data indicate that it is feasible to differentiate between the normal and degraded (with selected degradation mechanisms) configurations of these two components from the acquiredmore » sensor signals, but it is questionable that these methods can reliably identify the level and type of degradation. Additional research and development efforts are needed to refine the differentiation techniques and to reduce the level of uncertainties.« less

Authors:
 [1];
  1. Korea Atomic Energy Research Institute, Daejon, Korea
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
923080
Report Number(s):
SAND2005-3226
TRN: US0802201
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; 47 OTHER INSTRUMENTATION; ACCELEROMETERS; ACOUSTICS; ALGORITHMS; COMMUNITIES; MONITORING; MONITORS; NUCLEAR POWER PLANTS; OPTICAL FIBERS; PATTERN RECOGNITION; PROCESSING; TRANSDUCERS; ULTRASONIC WAVES; VALVES; WATER CHEMISTRY; Nuclear power plants.; Sensors.; Nuclear facilities-Monitoring.; Radiation monitoring-Methods.

Citation Formats

Kim, Jung-Taek, and Luk, Vincent K. Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).. United States: N. p., 2005. Web. doi:10.2172/923080.
Kim, Jung-Taek, & Luk, Vincent K. Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).. United States. https://doi.org/10.2172/923080
Kim, Jung-Taek, and Luk, Vincent K. 2005. "Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).". United States. https://doi.org/10.2172/923080. https://www.osti.gov/servlets/purl/923080.
@article{osti_923080,
title = {Condition monitoring through advanced sensor and computational technology : final report (January 2002 to May 2005).},
author = {Kim, Jung-Taek and Luk, Vincent K},
abstractNote = {The overall goal of this joint research project was to develop and demonstrate advanced sensors and computational technology for continuous monitoring of the condition of components, structures, and systems in advanced and next-generation nuclear power plants (NPPs). This project included investigating and adapting several advanced sensor technologies from Korean and US national laboratory research communities, some of which were developed and applied in non-nuclear industries. The project team investigated and developed sophisticated signal processing, noise reduction, and pattern recognition techniques and algorithms. The researchers installed sensors and conducted condition monitoring tests on two test loops, a check valve (an active component) and a piping elbow (a passive component), to demonstrate the feasibility of using advanced sensors and computational technology to achieve the project goal. Acoustic emission (AE) devices, optical fiber sensors, accelerometers, and ultrasonic transducers (UTs) were used to detect mechanical vibratory response of check valve and piping elbow in normal and degraded configurations. Chemical sensors were also installed to monitor the water chemistry in the piping elbow test loop. Analysis results of processed sensor data indicate that it is feasible to differentiate between the normal and degraded (with selected degradation mechanisms) configurations of these two components from the acquired sensor signals, but it is questionable that these methods can reliably identify the level and type of degradation. Additional research and development efforts are needed to refine the differentiation techniques and to reduce the level of uncertainties.},
doi = {10.2172/923080},
url = {https://www.osti.gov/biblio/923080}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun May 01 00:00:00 EDT 2005},
month = {Sun May 01 00:00:00 EDT 2005}
}