Title :
Research on fault sample knowledge abstraction and fault fuzzy diagnosis for large power station halving-style condenser
Author :
Liangyu, Ma ; Bingshu, Wang ; Yongguang, Ma ; Jianqiang, Gao ; Zhensheng, Tong
Author_Institution :
Res. Inst. of Simulation & Control, North China Electr. Power Univ., China
Abstract :
Typical fault sample knowledge library of the halving style condenser is abstracted and completed based on the dynamic simulation model of halving-style condenser developed by the authors. The fuzzy pattern recognition is used to realize halving-style condenser fault diagnosis. A new kind of subordinate function is given to overcome the demerit of one old function. Diagnostic effects of the two different functions are compared by example
Keywords :
condensers (steam plant); fault diagnosis; fuzzy set theory; knowledge acquisition; pattern recognition; power engineering computing; steam power stations; diagnostic effects; dynamic simulation model; fault fuzzy diagnosis; fault sample knowledge abstraction; fuzzy pattern recognition; power station halving-style condenser; subordinate function; Cooling; Equations; Erbium; Fault diagnosis; Heat transfer; Libraries; Pattern recognition; Power generation; Temperature; Water heating;
Conference_Titel :
Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-6338-8
DOI :
10.1109/ICPST.2000.900082
