A Farhat Ibrahim (7 results)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Fault Diagnosis in Electric Power Transmission Systems | Detection, classification and isolation of faults in electric power transmission lines | Ibrahim A. Farhat | Taschenbuch | 104 S. | Englisch | 2017 | Noor Publishing | EAN 9783330974197 | Verantwortliche Person für die EU: preigu GmbH & Co. KG,… Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Softcover
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an effective approach to detection, classification and isolation (location) of faults in transmission line systems. The objective is to implement a complete scheme for distance protection of a transmission line sy…stem. In order to reach this goal, the distance protection task is subdivided into different neural networks for fault detection, fault identification (classification) as well as fault location in different zones. The other purpose of this work is to study and compare the application of three different neural network architectures for the protection of the transmission lines. The considered three approaches are back-propagation, radial basis functions and support vector machines. Simulation results are provided to demonstrate the advantages and disadvantages of these structures when applied to the problem of transmission line protection. 104 pp. Englisch.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A. Farhat IbrahimDr. Farhat received his PhD degree from Dalhousie University,Canada, the MASc from Concordia University,Canada and the BSc from Tripoli University of Libya, all in electrical engineerin…g. He was awarded the Dalhousie.
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an effective approach to detection, classification and isolation (location) of faults in transmission line systems. The objective is to implement a complete scheme for distance protection of a transmission line system…. In order to reach this goal, the distance protection task is subdivided into different neural networks for fault detection, fault identification (classification) as well as fault location in different zones. The other purpose of this work is to study and compare the application of three different neural network architectures for the protection of the transmission lines. The considered three approaches are back-propagation, radial basis functions and support vector machines. Simulation results are provided to demonstrate the advantages and disadvantages of these structures when applied to the problem of transmission line protection.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents an effective approach to detection, classification and isolation (location) of faults in transmission line systems. The objective is to implement a complete scheme for distance protection of a transmission line system.… In order to reach this goal, the distance protection task is subdivided into different neural networks for fault detection, fault identification (classification) as well as fault location in different zones. The other purpose of this work is to study and compare the application of three different neural network architectures for the protection of the transmission lines. The considered three approaches are back-propagation, radial basis functions and support vector machines. Simulation results are provided to demonstrate the advantages and disadvantages of these structures when applied to the problem of transmission line protection.
