Titlebook: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets; Philipp Bergmeir Book 2018 The Edito

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Introduction,its functions, and protecting it from abnormal use. For this purpose, an ECU reads data that are measured by sensors and calculates control values and statistics that describe the component’s load, e.g., load spectrum data [61], based on the sensor input.

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Classifying component failures of a vehicle fleet, algorithms are fed with load spectrum data. Furthermore, it is analysed whether these classifiers can be combined with feature selection approaches to not only improve the classification performance of the models, but also to select a small set of failure related features.

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2567-0042 for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train...?.978-3-658-20366-5978-3-658-20367-2Series ISSN 2567-0042 Series E-ISSN 2567-0352

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The Palgrave Handbook of Urban Ethnography algorithms are fed with load spectrum data. Furthermore, it is analysed whether these classifiers can be combined with feature selection approaches to not only improve the classification performance of the models, but also to select a small set of failure related features.

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Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets

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Introduction,or a battery management system (BMS). In general, among the main tasks of such a unit are monitoring the state of a component, controlling various of its functions, and protecting it from abnormal use. For this purpose, an ECU reads data that are measured by sensors and calculates control values and