@inproceedings{41b0797714ec4faba3ce4b947b4605d5,
title = "High impedance faults detection using artificial neural network",
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 = "Lai, \{T. M.\} and Snider, \{L. A.\} and E. Lo and Cheung, \{C. H.\} and Chan, \{K. W.\}",
year = "2003",
doi = "10.1049/cp:20030692",
language = "English",
isbn = "0863413285",
series = "Sixth International Conference on Advances in Power System Control, Operation and Management - Proceedings",
publisher = "Institute of Electrical Engineers",
pages = "821--826",
booktitle = "Sixth International Conference on Advances in Power System Control, Operation and Management - Proceedings",
address = "United Kingdom",
note = "Sixth International Conference on Advances in Power System Control, Operation and Management - Proceedings ; Conference date: 11-11-2003 Through 14-11-2003",
}