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Detection of high impedance arcing faults using a multi-layer perceptron

Journal Article · · IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/61.156989· OSTI ID:6989218
;  [1];  [2]
  1. Univ. of Manitoba, Dept. of Electrical and Computer Engineering, Winnipeg, Manitoba R3T 2N2 (Canada)
  2. Manitoba Hydro, System Operation Dept., Winnipeg, Manitoba R3C 2P4 (Canada)
A feed-forward three-layer perceptron was trained by high impedance fault, fault-like load, and normal load current patterns, using the back-propagation training algorithm. This paper reports that the neural network parameters were embodied in a high impedance arcing faults detection algorithm, which uses a simple preprocessing technique to prepare the information input to the network. The algorithm was tested by traces of normal load current disturbed by currents of faults on dry and wet soil, an arc welder, computers, and fluorescent lights.
OSTI ID:
6989218
Journal Information:
IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States) Vol. 7:4; ISSN 0885-8977; ISSN ITPDE5
Country of Publication:
United States
Language:
English