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

Journal Article · Thu Oct 01 00:00:00 EDT 1992 · IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/61.156989· OSTI ID:6989218

Sultan, F F; Swift, G W ^[1]; Fedirchuk, D J ^[2]

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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), Vol. 7:4; ISSN 0885-8977
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING
POLICY AND ECONOMY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
POWER DISTRIBUTION SYSTEMS
COMPUTER-AIDED DESIGN
ELECTRICAL FAULTS
POWER SYSTEMS
DATA ACQUISITION SYSTEMS
LOAD MANAGEMENT
ALGORITHMS
ARC WELDING
NEURAL NETWORKS
ON-LINE MEASUREMENT SYSTEMS
PLANNING
SOILS
TOPOLOGY
TRAINING
DESIGN
EDUCATION
FABRICATION
JOINING
MANAGEMENT
MATHEMATICAL LOGIC
MATHEMATICS
ON-LINE SYSTEMS
WELDING
240100* - Power Systems- (1990-)
296000 - Energy Planning & Policy- Electric Power
240200 - Power System Networks
Transmission & Distribution- (1990-)
990200 - Mathematics & Computers