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Intelligent Power System Protection Performance Analysis: Data Mining in Discovering Protective Relay Operation Algorithm - Softcover

 
9783639862195: Intelligent Power System Protection Performance Analysis: Data Mining in Discovering Protective Relay Operation Algorithm

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Mohammad Lutfi Othman|Ishak Aris
Published by Scholars\' Press, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Seller: moluna, Greven, Germany

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Condition: 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. Seller Inventory # 385760528

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Mohammad Lutfi Othman
Published by Scholars' Press Apr 2018, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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Taschenbuch. Condition: 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. Seller Inventory # 9783639862195

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Mohammad Lutfi Othman
Published by Scholars' Press
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Taschenbuch. Condition: 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. Seller Inventory # 9783639862195

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Mohammad Lutfi Othman
Published by Scholars' Press Apr 2018, 2018
ISBN 10: 3639862198 ISBN 13: 9783639862195
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

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Taschenbuch. Condition: 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. Seller Inventory # 9783639862195

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