@inproceedings{f5be3fa3651d47809d63f08038ee3b59,

title = "Hybrid artificial neural network and finite impulse response based relay algorithm for the detection of stochastic high impedance faults",

abstract = "High impedance faults (HIF) are faults which are difficult to be detected by overcurrent protection relays. This paper presents a practical pattern recognition based relay algorithm for electric distribution high impedance fault detection. The scheme recognizes the distortion of the voltage and current waveforms caused by the arcs usually associated with HIF. The analysis using Finite Impulse Response (FIR) filter bank yields three-phase voltage and current in the low frequency range which fed to a classifier for pattern recognition. The classifier is based on the algorithm using neural network approach. A HIF model was also developed, where the random nature of the arc was simulated using MATLAB.",

keywords = "Finite Impulse Response Filter Bank, High Impedance Faults, Neural Network",

author = "Cheung, {C. H.} and Lai, {T. M.} and Chan, {K. W.} and Snider, {L. A.} and E. Lo",

year = "2003",

language = "English",

isbn = "0889863350",

series = "Proceedings of the IASTED Multi-Conference- Power and Energy Systems",

pages = "159--163",

editor = "K.M. Smedley",

booktitle = "Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems",

note = "Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems ; Conference date: 24-02-2003 Through 26-02-2003",

}