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Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship

This paper discusses the novel application of the discernibility concept inherent in rough set theory in making explicit of the implicit knowledge of distance protective relay operations and fault characteristics that are hidden away in the recorded relay event report. A rough-set-based data mining...

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Main Authors: Othman, Mohammad Lutfi, Aris, Ishak, Abdullah, Senan Mahmood, Mohammad Abu Bakar, Mohammad Liakot Ali, Othman, Mohammad Ridzal
Format: Article
Language:English
Published: INSInet Publication 2009
Online Access:http://psasir.upm.edu.my/id/eprint/15512/1/15512.pdf
http://psasir.upm.edu.my/id/eprint/15512/
http://www.aensiweb.com/old/jasr/jasr_october_2009.html
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spelling my.upm.eprints.155122019-12-18T01:07:19Z http://psasir.upm.edu.my/id/eprint/15512/ Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship Othman, Mohammad Lutfi Aris, Ishak Abdullah, Senan Mahmood Mohammad Abu Bakar, Mohammad Liakot Ali Othman, Mohammad Ridzal This paper discusses the novel application of the discernibility concept inherent in rough set theory in making explicit of the implicit knowledge of distance protective relay operations and fault characteristics that are hidden away in the recorded relay event report. A rough-set-based data mining strategy is formulated to analyze the relay trip assertion, impedance element activation, and fault characteristics of distance relay decision system. Using rough set theory, the uncertainty and vagueness in the relay event report can be resolved using the concepts of discernibility, elementary sets and set approximations. Nowadays protection engineers are suffering from very complex implementations of protection system analysis due to massive quantities of data coming from diverse points of intelligent electronic devices (IEDs such as digital protective relays, digital fault recorders, SCADA's remote terminal units, sequence of event recorders, circuit breakers, fault locators and IEDs specially used for variety of monitoring and control applications). To help the protection engineers come to term with the crucial necessity and benefit of protection system analysis without the arduous dealing of overwhelming data, using recorded data resident in digital protective relays alone in an automated approach called knowledge discovery in database (KDD) is certainly of an immense help in their protection operation analysis tasks. Digital protective relay, instead of a host of other intelligent electronic devices, is the only device for analysis in this work because it sufficiently provides virtually most attributes needed for data mining process in KDD. Unlike some artificial intelligence aproaches like artificial nueral network and decision tree in which the data mining analysis is "population-based" and single since it is common to the entire population of training data set, the rough set approach adopts an "individually-event-based" paradigm in which detailed time tracking analysis of relay operation has been successfully performed. INSInet Publication 2009 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/15512/1/15512.pdf Othman, Mohammad Lutfi and Aris, Ishak and Abdullah, Senan Mahmood and Mohammad Abu Bakar, Mohammad Liakot Ali and Othman, Mohammad Ridzal (2009) Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship. Journal of Applied Sciences Research, 5 (10). pp. 1698-1708. ISSN 1816-157X http://www.aensiweb.com/old/jasr/jasr_october_2009.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper discusses the novel application of the discernibility concept inherent in rough set theory in making explicit of the implicit knowledge of distance protective relay operations and fault characteristics that are hidden away in the recorded relay event report. A rough-set-based data mining strategy is formulated to analyze the relay trip assertion, impedance element activation, and fault characteristics of distance relay decision system. Using rough set theory, the uncertainty and vagueness in the relay event report can be resolved using the concepts of discernibility, elementary sets and set approximations. Nowadays protection engineers are suffering from very complex implementations of protection system analysis due to massive quantities of data coming from diverse points of intelligent electronic devices (IEDs such as digital protective relays, digital fault recorders, SCADA's remote terminal units, sequence of event recorders, circuit breakers, fault locators and IEDs specially used for variety of monitoring and control applications). To help the protection engineers come to term with the crucial necessity and benefit of protection system analysis without the arduous dealing of overwhelming data, using recorded data resident in digital protective relays alone in an automated approach called knowledge discovery in database (KDD) is certainly of an immense help in their protection operation analysis tasks. Digital protective relay, instead of a host of other intelligent electronic devices, is the only device for analysis in this work because it sufficiently provides virtually most attributes needed for data mining process in KDD. Unlike some artificial intelligence aproaches like artificial nueral network and decision tree in which the data mining analysis is "population-based" and single since it is common to the entire population of training data set, the rough set approach adopts an "individually-event-based" paradigm in which detailed time tracking analysis of relay operation has been successfully performed.
format Article
author Othman, Mohammad Lutfi
Aris, Ishak
Abdullah, Senan Mahmood
Mohammad Abu Bakar, Mohammad Liakot Ali
Othman, Mohammad Ridzal
spellingShingle Othman, Mohammad Lutfi
Aris, Ishak
Abdullah, Senan Mahmood
Mohammad Abu Bakar, Mohammad Liakot Ali
Othman, Mohammad Ridzal
Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
author_facet Othman, Mohammad Lutfi
Aris, Ishak
Abdullah, Senan Mahmood
Mohammad Abu Bakar, Mohammad Liakot Ali
Othman, Mohammad Ridzal
author_sort Othman, Mohammad Lutfi
title Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
title_short Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
title_full Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
title_fullStr Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
title_full_unstemmed Making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
title_sort making implicit knowledge of distance protective relay operations and fault characteristics explicit via rough set based discernibility relationship
publisher INSInet Publication
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/15512/1/15512.pdf
http://psasir.upm.edu.my/id/eprint/15512/
http://www.aensiweb.com/old/jasr/jasr_october_2009.html
_version_ 1654961572404002816
score 13.211869

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