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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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发表于 2025-3-21 19:51:35 | 显示全部楼层 |阅读模式
书目名称Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets
编辑Philipp Bergmeir
视频video
概述New Approaches for Identifying Harmful Vehicle Usage Patterns.Includes supplementary material:
丛书名称Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
图书封面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
关键词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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发表于 2025-3-21 21:30:28 | 显示全部楼层
Wissenschaftliche Reihe Fahrzeugtechnik Universität 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
发表于 2025-3-23 07:21:21 | 显示全部楼层
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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