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Title: Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report

Abstract

OAK-B135 This OSTI ID belongs to an IWO and is being released out of the system. The Program Manager Rebecca Richardson has confirmed that all reports have been received. The objective of this project is to design and demonstrate the operation of the real-time intelligent self-diagnostic and prognostic system for next generation nuclear power plant systems. This new self-diagnostic technology is titled, ''On-Line Intelligent Self-Diagnostic Monitoring System'' (SDMS). This project provides a proof-of-principle technology demonstration for SDMS on a pilot plant scale service water system, where a distributed array of sensors is integrated with active components and passive structures typical of next generation nuclear power reactor and plant systems. This project employs state-of-the-art sensors, instrumentation, and computer processing to improve the monitoring and assessment of the power reactor system and to provide diagnostic and automated prognostics capabilities.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab., Richland, WA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
769582
Report Number(s):
PNNL-13351
PNNL Project No. 30344; TRN: US0305547
DOE Contract Number:  
M9SF99-0168
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Sep 2000
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; AUXILIARY WATER SYSTEMS; COMPUTERS; DESIGN; MONITORING; NUCLEAR ENERGY; NUCLEAR POWER; NUCLEAR POWER PLANTS; PILOT PLANTS; POWER REACTORS; PROCESSING

Citation Formats

L. J. Bond, S. R. Doctor, R. W. Gilbert, D. B. Jarrell, F. L. Greitzer, and R. J. Meador. Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report. United States: N. p., 2000. Web. doi:10.2172/769582.
L. J. Bond, S. R. Doctor, R. W. Gilbert, D. B. Jarrell, F. L. Greitzer, & R. J. Meador. Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report. United States. doi:10.2172/769582.
L. J. Bond, S. R. Doctor, R. W. Gilbert, D. B. Jarrell, F. L. Greitzer, and R. J. Meador. Fri . "Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report". United States. doi:10.2172/769582. https://www.osti.gov/servlets/purl/769582.
@article{osti_769582,
title = {Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report},
author = {L. J. Bond and S. R. Doctor and R. W. Gilbert and D. B. Jarrell and F. L. Greitzer and R. J. Meador},
abstractNote = {OAK-B135 This OSTI ID belongs to an IWO and is being released out of the system. The Program Manager Rebecca Richardson has confirmed that all reports have been received. The objective of this project is to design and demonstrate the operation of the real-time intelligent self-diagnostic and prognostic system for next generation nuclear power plant systems. This new self-diagnostic technology is titled, ''On-Line Intelligent Self-Diagnostic Monitoring System'' (SDMS). This project provides a proof-of-principle technology demonstration for SDMS on a pilot plant scale service water system, where a distributed array of sensors is integrated with active components and passive structures typical of next generation nuclear power reactor and plant systems. This project employs state-of-the-art sensors, instrumentation, and computer processing to improve the monitoring and assessment of the power reactor system and to provide diagnostic and automated prognostics capabilities.},
doi = {10.2172/769582},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {9}
}