Title :
An Integration Methodology and Dynamic Diagnosis Algorithm for Online Fault Diagnosis of NPP
Author_Institution :
Coll. of Nucl. Sci. & Technol., Harbin Eng. Univ., Harbin, China
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;
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
DOI :
10.1109/APPEEC.2010.5448922