DocumentCode
348834
Title
Fuzzy fault query approach in the fault diagnosis of a power plant system
Author
Dai, Fengzhi ; Sugisaka, Masanori
Author_Institution
Dept. of Electr. & Electron. Eng., Oita Univ., Japan
Volume
2
fYear
1999
fDate
1999
Firstpage
752
Abstract
Based on the theory of fuzzy recognition, this method only depends on experience and statistical data to set up the fuzzy fault query relationship between the outside phenomena (fault characters) and the fault sources (fault states), so that it reaches the goal of quick diagnosis
Keywords
fault diagnosis; fault trees; fuzzy set theory; matrix algebra; power plants; power station control; experience; fault characters; fault states; fuzzy fault query approach; fuzzy recognition; power plant system; quick diagnosis; statistical data; Artificial intelligence; Character recognition; Control systems; Fault detection; Fault diagnosis; Fault trees; Fuzzy set theory; Fuzzy systems; Power engineering and energy; Power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on
Conference_Location
Kyongju
Print_ISBN
0-7803-5184-3
Type
conf
DOI
10.1109/IROS.1999.812770
Filename
812770
Link To Document