A comparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis

IEEE Transactions on Power Delivery

Volumn 16, Issue 4, 2001, Pages 643-647

  Guardado, J L ^b   Naredo, J L ^a,c   Moreno, P ^c   Fuerte, C R ^a,b  

^a IEEE

^b INSTITUTO TECNOLÓGICO DE MORELIA   (Mexico)

^c DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

Fault diagnosis; Neural networks; Power transformer testing

Indexed keywords

ELECTRIC FAULT CURRENTS; GAS FUEL ANALYSIS; INSULATING OIL; NEURAL NETWORKS;

POWER TRANSFORMERS;

ELECTRIC TRANSFORMERS;

EID: 0035481368     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/61.956751     Document Type: Article

References (15)

1. Transformer diagnostic testing by frequency response analysis
2. Location of discharges in power transformers using external acoustic sensors
3. Developing a new transformer fault diagnosis system through evolutionary fuzzy logic
4. Transformer fault diagnosis by dissolved gas analysis
5. Neural networks at work
6. A neural network approach to transformer fault diagnosis using dissolved gas analysis data
7. ANN based transformer fault diagnosis using gas-in-oil analysis
8. Artificial neural networks in power systems