论文信息 - An Artificial Neural Network Approach to Transformer Fault Diagnosis

An Artificial Neural Network Approach to Transformer Fault Diagnosis

This paper presents an artificial neural network (ANN) approach to the diagnosis and detection of faults in oil-filled power transformers based on dissolved gas-in-oil analysis. A two-step ANN method is used to detect faults with or without cellulose involved. Good diagnosis accuracy is obtained with the proposed approach.

[1] R. Rogers. IEEE and IEC Codes to Interpret Incipient Faults in Transformers, Using Gas in Oil Analysis , 1978, IEEE Transactions on Electrical Insulation.

[2] Chin E. Lin,et al. An expert system for transformer fault diagnosis using dissolved gas analysis , 1993 .

[3] Pj Griffin,et al. Criteria for the Interpretation of Data for Dissolved Gases in Oil from Transformers (A Review) , 1988 .

[4] ANN based transformer fault diagnosis using gas-in-oil analysis , 1995 .