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
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;
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
DOI :
10.1109/IROS.1999.812770
