Application of pattern recognition to identification of power system faults

S. A. Shahrestani; J. Ypsilantis; H. Yee

doi:10.1016/0378-7796(95)00981-3

Application of pattern recognition to identification of power system faults

S. A. Shahrestani, J. Ypsilantis, H. Yee

University of Sydney

Research output: Contribution to journal › Article › peer-review

Abstract

A fast and reliable method for identification of power distribution network faults, which does not resort to any heuristic rule, is proposed. Fault patterns are grouped together in such a way that their distinctive features can be explored and used for identification purposes. The method is tested and it is shown that, after thorough training, fast and successful identification of all faults is achieved.

Original language	English
Pages (from-to)	211-215
Number of pages	5
Journal	Electric Power Systems Research
Volume	34
Issue number	3
DOIs	https://doi.org/10.1016/0378-7796(95)00981-3
Publication status	Published - Sept 1995
Externally published	Yes

Keywords

Fault analysis
Pattern recognition

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10.1016/0378-7796(95)00981-3

Cite this

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title = "Application of pattern recognition to identification of power system faults",

abstract = "A fast and reliable method for identification of power distribution network faults, which does not resort to any heuristic rule, is proposed. Fault patterns are grouped together in such a way that their distinctive features can be explored and used for identification purposes. The method is tested and it is shown that, after thorough training, fast and successful identification of all faults is achieved.",

keywords = "Fault analysis, Pattern recognition",

author = "Shahrestani, {S. A.} and J. Ypsilantis and H. Yee",

year = "1995",

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doi = "10.1016/0378-7796(95)00981-3",

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journal = "Electric Power Systems Research",

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T1 - Application of pattern recognition to identification of power system faults

AU - Shahrestani, S. A.

AU - Ypsilantis, J.

AU - Yee, H.

PY - 1995/9

Y1 - 1995/9

N2 - A fast and reliable method for identification of power distribution network faults, which does not resort to any heuristic rule, is proposed. Fault patterns are grouped together in such a way that their distinctive features can be explored and used for identification purposes. The method is tested and it is shown that, after thorough training, fast and successful identification of all faults is achieved.

AB - A fast and reliable method for identification of power distribution network faults, which does not resort to any heuristic rule, is proposed. Fault patterns are grouped together in such a way that their distinctive features can be explored and used for identification purposes. The method is tested and it is shown that, after thorough training, fast and successful identification of all faults is achieved.

KW - Fault analysis

KW - Pattern recognition

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U2 - 10.1016/0378-7796(95)00981-3

DO - 10.1016/0378-7796(95)00981-3

M3 - Article

AN - SCOPUS:0029371179

SN - 0378-7796

VL - 34

SP - 211

EP - 215

JO - Electric Power Systems Research

JF - Electric Power Systems Research

IS - 3

ER -

Application of pattern recognition to identification of power system faults

Abstract

Keywords

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