Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
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Editore: LAP LAMBERT Academic Publishing, 2011
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Editore: LAP LAMBERT Academic Publishing 2011-08-29, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
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Editore: LAP LAMBERT Academic Publishing Aug 2011, 2011
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -As the technology advances and vehicles become more computerized, the complexity of automotive electronics grows exponentially, thus creating a new level of challenge for detecting faults in systems with such overwhelming number of active components. The proposal of this research was to analyze the data from the Controller Area Network from two vehicles, evaluate different techniques for data mining and feature extraction and devise possible methods for fault detection that could be employed in any system with this level of complexity. The data used in this research was collected from an ordinary vehicle and an experimental vehicle test bed, the LabCar. The techniques evaluated in this research were based on proven mathematical methods that had original application in areas of statistics and digital signal processing. A detailed analysis of each of the techniques studied and their suitability for analysing complex non-linear systems were documented with basis on the data collected. The final stages of this research consisted of using these techniques to devise a model of the Controller Area Network bus and use it for finding faults in the network.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
Lingua: Inglese
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ISBN 10: 3844382658 ISBN 13: 9783844382655
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Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
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Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
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Editore: LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the technology advances and vehicles become more computerized, the complexity of automotive electronics grows exponentially, thus creating a new level of challenge for detecting faults in systems with such overwhelming number of active components. The proposal of this research was to analyze the data from the Controller Area Network from two vehicles, evaluate different techniques for data mining and feature extraction and devise possible methods for fault detection that could be employed in any system with this level of complexity. The data used in this research was collected from an ordinary vehicle and an experimental vehicle test bed, the LabCar. The techniques evaluated in this research were based on proven mathematical methods that had original application in areas of statistics and digital signal processing. A detailed analysis of each of the techniques studied and their suitability for analysing complex non-linear systems were documented with basis on the data collected. The final stages of this research consisted of using these techniques to devise a model of the Controller Area Network bus and use it for finding faults in the network. 112 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 41,05
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vicente AlexandreGraduated with First Class Hons in Robotics and Automated Systems at The University of Plymouth, followed a distinct degree in MSc Electronics systems at the University of Warwick. Worked in many areas from automated.
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844382658 ISBN 13: 9783844382655
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the technology advances and vehicles become more computerized, the complexity of automotive electronics grows exponentially, thus creating a new level of challenge for detecting faults in systems with such overwhelming number of active components. The proposal of this research was to analyze the data from the Controller Area Network from two vehicles, evaluate different techniques for data mining and feature extraction and devise possible methods for fault detection that could be employed in any system with this level of complexity. The data used in this research was collected from an ordinary vehicle and an experimental vehicle test bed, the LabCar. The techniques evaluated in this research were based on proven mathematical methods that had original application in areas of statistics and digital signal processing. A detailed analysis of each of the techniques studied and their suitability for analysing complex non-linear systems were documented with basis on the data collected. The final stages of this research consisted of using these techniques to devise a model of the Controller Area Network bus and use it for finding faults in the network.