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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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發(fā)表于 2025-3-21 19:51:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets
編輯Philipp Bergmeir
視頻videohttp://file.papertrans.cn/312/311252/311252.mp4
概述New Approaches for Identifying Harmful Vehicle Usage Patterns.Includes supplementary material:
叢書名稱Wissenschaftliche Reihe Fahrzeugtechnik Universit?t Stuttgart
圖書封面Titlebook: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets;  Philipp Bergmeir Book 2018 The Edito
描述.Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded 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...?.
出版日期Book 2018
關(guān)鍵詞Logged On-board Data; Balanced Random Forest; t-Distributed Stochastic Neighbour Embedding; Rule Learni
版次1
doihttps://doi.org/10.1007/978-3-658-20367-2
isbn_softcover978-3-658-20366-5
isbn_ebook978-3-658-20367-2Series ISSN 2567-0042 Series E-ISSN 2567-0352
issn_series 2567-0042
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
The information of publication is updating

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發(fā)表于 2025-3-21 21:30:28 | 只看該作者
Wissenschaftliche Reihe Fahrzeugtechnik Universit?t Stuttgarthttp://image.papertrans.cn/e/image/311252.jpg
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Visualizing different kinds of vehicle stress and usage, likely to suffer from the same type of failure or not. Thereby, it is only known that the same component of these two cars has failed. Moreover, the method should draw its conclusion exclusively on the basis of the load spectrum data of these vehicles.
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https://doi.org/10.1007/978-3-319-59297-8or 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
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發(fā)表于 2025-3-23 07:21:21 | 只看該作者
The Palgrave Handbook of Urban Ethnographyd for the purpose of distinguishing non-faulty HEV from those suffering from a failure of a particular component of the hybrid power-train, when these algorithms are fed with load spectrum data. Furthermore, it is analysed whether these classifiers can be combined with feature selection approaches t
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