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Title: Intelligent Component Monitoring for Nuclear Power Plants

Reliability and economy are two major concerns for a nuclear power generation system. Next generation nuclear power reactors are being developed to be more reliable and economic. An effective and efficient surveillance system can generously contribute toward this goal. Recent progress in computer systems and computational tools has made it necessary and possible to upgrade current surveillance/monitoring strategy for better performance. For example, intelligent computing techniques can be applied to develop algorithm that help people better understand the information collected from sensors and thus reduce human error to a new low level. Incidents incurred from human error in nuclear industry are not rare and have been proven costly. The goal of this project is to develop and test an intelligent prognostics methodology for predicting aging effects impacting long-term performance of nuclear components and systems. The approach is particularly suitable for predicting the performance of nuclear reactor systems which have low failure probabilities (e.g., less than 10-6 year-). Such components and systems are often perceived as peripheral to the reactor and are left somewhat unattended. That is, even when inspected, if they are not perceived to be causing some immediate problem, they may not be paid due attention. Attention to suchmore » systems normally involves long term monitoring and possibly reasoning with multiple features and evidence, requirements that are not best suited for humans.« less
Authors:
Publication Date:
OSTI Identifier:
988301
Report Number(s):
DOE-ID/14766
TRN: US1006933
DOE Contract Number:
FG07-07ID14766
Resource Type:
Technical Report
Research Org:
Purdue University
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS; 97 MATHEMATICAL METHODS AND COMPUTING; AGING; ALGORITHMS; REACTOR MONITORING SYSTEMS; NUCLEAR POWER PLANTS; PERFORMANCE; REACTORS; RELIABILITY; COMPUTER-AIDED INSTRUCTION; AUXILIARY SYSTEMS