ANN based transformer fault diagnosis using gas-in-oil analysis
Conference
·
OSTI ID:103711
- Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States). Bradley Dept. of Electrical Engineering
- Doble Engineering Co., Watertown, MA (United States)
This paper presents an artificial neural network (ANN) approach to detect faults in oil-filled power transformers. The relationship between transformer faults of power transformers and gases dissolved in insulating oil is reviewed. ANN based data processing and diagnostic techniques are described. Preliminary simulation results show a 95% correct diagnosis rate for the ANN based method with modest amount of training data.
- OSTI ID:
- 103711
- Report Number(s):
- CONF-950414--
- Country of Publication:
- United States
- Language:
- English
Similar Records
An artificial neural network approach to transformer fault diagnosis
Developing a new transformer fault diagnosis system through evolutionary fuzzy logic
Nuclear power plant fault-diagnosis using neural networks with error estimation
Journal Article
·
Tue Oct 01 00:00:00 EDT 1996
· IEEE Transactions on Power Delivery
·
OSTI ID:422769
Developing a new transformer fault diagnosis system through evolutionary fuzzy logic
Journal Article
·
Mon Mar 31 23:00:00 EST 1997
· IEEE Transactions on Power Delivery
·
OSTI ID:492195
Nuclear power plant fault-diagnosis using neural networks with error estimation
Journal Article
·
Fri Dec 30 23:00:00 EST 1994
· Transactions of the American Nuclear Society
·
OSTI ID:89046