Fuzzy learning vector quantization networks for power transformer condition assessment

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 8, Issue 1, 2001, Pages 143-149

  Yang, Hong Tzer ^a   Liao, Chiung Chou ^a   Chou, Jeng Hong ^a  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; ELECTRIC INSULATION; FUZZY SETS; NEURAL NETWORKS;

704; 921; BACK-PROPAGATION BASED ARTIFICIAL NEURAL NETWORKS; DISSOLVED GAS ANALYSIS; FUZZY DIAGNOSIS SYSTEM; FUZZY LEARNING VECTOR QUANTIZATION NETWORKS;

ELECTRIC TRANSFORMERS;

EID: 0035248143     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/94.910437     Document Type: Article

References (14)

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4. IEEE and IEC codes to interpret incipient faults in transformers using gas in oil analysis
5. Dissolved gas analysis: It can save your transformer
6. IEEE guide for the interpretation of gases generated in oil-immersed transformers
7. Expert system for transformer faults diagnosis
8. An expert system for transformer fault diagnosis and maintenance using dissolved gas analysis
9. Combined ANN and expert system tool for transformer fault diagnosis
10. Transformer oil diagnosis using fuzzy logic and neural networks
11. Developing a new transformer fault diagnosis system through evolutionary fuzzy logic
12. An artificial neural network approach to transformer fault diagnosis
13. Learning vector quantization