Fuzzy pattern recognition and artificial neural network used for fault diagnosis of the double-channel condenser

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 21, Issue 8, 2001, Pages

  Ma, Liang Yu ^a   Wang, Bing Shu ^a   Tong, Zhen Sheng ^a   Ma, Yong Guang ^a   Song, Zhi Ping ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Artificial neural network; Fault diagnosis; Fuzzy pattern recognition; Halving style condenser

Indexed keywords

ADAPTIVE ALGORITHMS; FUZZY CONTROL; NEURAL NETWORKS; PATTERN RECOGNITION; TURBOGENERATORS; VECTORS;

FAULT DIAGNOSIS; FUZZY PATTERN RECOGNITION; HALVING STYLE CONDENSER;

CONDENSERS (LIQUEFIERS);

EID: 0035435317     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Application of fuzzy pattern recognition to fault diagnosis of the condenser
2. Causes of low-vacuum operation for condenser and its fault fuzzy diagnosis
3. Condenser fault diagnostic system based on neural network
4. Study on condenser fault diagnostic system based on fuzzy neural network