DocumentCode
2105620
Title
An Integration Methodology and Dynamic Diagnosis Algorithm for Online Fault Diagnosis of NPP
Author
Wang He
Author_Institution
Coll. of Nucl. Sci. & Technol., Harbin Eng. Univ., Harbin, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
Fault diagnosis is one of the important technologies that can improve the operational safety and reliability of Nuclear Power Plant (NPP). However few comprehensive fault diagnosis system applied in practice are available in NPP. An integration methodology and dynamic diagnosis algorithm are developed. First of all, the fault diagnosis problem of NPP is formulized. Then Nuclear Power Plant is decomposed into some small subsystems. On that base, a new dynamic diagnosis algorithm for online isolating the single fault in NPP is proposed and proved. This research provides one ideal solution for resolving the comprehensive fault diagnosis problem of NPP.
Keywords
fault diagnosis; nuclear power stations; power generation faults; power generation reliability; NPP fault; dynamic diagnosis algorithm; nuclear power plant reliability; online fault diagnosis; Decision making; Extraterrestrial measurements; Fault detection; Fault diagnosis; Heuristic algorithms; Isolation technology; Matrix converters; Power generation; Power system reliability; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448922
Filename
5448922
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