Recognizing animal-caused faults in power distribution systems using artificial neural networks
- 1 July 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Delivery
- Vol. 8 (3), 1268-1274
- https://doi.org/10.1109/61.252652
Abstract
Artificial neural networks are used to recognize the causes of faults in power distribution systems, based on fault currents information collected for each outage. Actual field data are used. The methodology and implementation of neural networks and fuzzy logic for the identification of animal-caused distribution faults are presented. Satisfactory results are obtained, and the developed methodology can be easily generalized and used to identify other causes of faults in power distribution systems.Keywords
This publication has 4 references indexed in Scilit:
- A neural network approach to real-time condition monitoring of induction motorsIEEE Transactions on Industrial Electronics, 1991
- Methodology for on-line incipient fault detection in single-phase squirrel-cage induction motors using artificial neural networksIEEE Transactions on Energy Conversion, 1991
- Backpropagation through time: what it does and how to do itProceedings of the IEEE, 1990
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987