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Mohammad Lutfi Othman|Ishak Aris
Publicado por Scholars\' Press, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Othman Mohammad LutfiIr. Dr. Mohammad Lutfi Othman received BSc (Magna Cum Laude) in electrical engineering from the Univ. of Arizona in 1990 and MSc and PhD in power system protection from the Universiti Putra Malaysia in 2004 and 2. Nº de ref. del artículo: 385760528

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Mohammad Lutfi Othman
Publicado por Scholars' Press Apr 2018, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A distance protective relay performance analysis is only feasible when the hypothesis of expected relay operation characteristics as decision rules is established as the knowledge base. This has been meticulously done by soliciting the relay knowledge domain from protection experts who are usually constrained by their experience and expertise, strenuously manually perusing tremendous amount of data in event report and traditionally relying on such intelligent electronic devices as digital fault recorders, sequence of event recorders and SCADA's remote terminal units that are lacked of detailed protection information. Thus, this thesis addresses these issues with the objective of intelligently divulging the knowledge hidden in the recorded event report at a relay device level using a data mining strategy based on Rough Set Theory, Genetic Algorithm and Rule Quality Measure under supervised learning within the framework of Knowledge Discovery in Database (KDD) in order to discover the relay's decision algorithm (prediction rules) and, subsequently, the association rule. 476 pp. Englisch. Nº de ref. del artículo: 9783639862195

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Mohammad Lutfi Othman
Publicado por Scholars' Press
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A distance protective relay performance analysis is only feasible when the hypothesis of expected relay operation characteristics as decision rules is established as the knowledge base. This has been meticulously done by soliciting the relay knowledge domain from protection experts who are usually constrained by their experience and expertise, strenuously manually perusing tremendous amount of data in event report and traditionally relying on such intelligent electronic devices as digital fault recorders, sequence of event recorders and SCADA's remote terminal units that are lacked of detailed protection information. Thus, this thesis addresses these issues with the objective of intelligently divulging the knowledge hidden in the recorded event report at a relay device level using a data mining strategy based on Rough Set Theory, Genetic Algorithm and Rule Quality Measure under supervised learning within the framework of Knowledge Discovery in Database (KDD) in order to discover the relay's decision algorithm (prediction rules) and, subsequently, the association rule. Nº de ref. del artículo: 9783639862195

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Mohammad Lutfi Othman
Publicado por Scholars' Press Apr 2018, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Neuware -A distance protective relay performance analysis is only feasible when the hypothesis of expected relay operation characteristics as decision rules is established as the knowledge base. This has been meticulously done by soliciting the relay knowledge domain from protection experts who are usually constrained by their experience and expertise, strenuously manually perusing tremendous amount of data in event report and traditionally relying on such intelligent electronic devices as digital fault recorders, sequence of event recorders and SCADA¿s remote terminal units that are lacked of detailed protection information. Thus, this thesis addresses these issues with the objective of intelligently divulging the knowledge hidden in the recorded event report at a relay device level using a data mining strategy based on Rough Set Theory, Genetic Algorithm and Rule Quality Measure under supervised learning within the framework of Knowledge Discovery in Database (KDD) in order to discover the relay¿s decision algorithm (prediction rules) and, subsequently, the association rule.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 476 pp. Englisch. Nº de ref. del artículo: 9783639862195

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