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Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data

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Bergmeir, Philipp Unknown Springer Vieweg (Wiesbaden, 2018) (eng) English 9783658203672 Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart 1st ed. DATA MINING; Unknown 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.

Physical dimension
1 online resource (xxxii, 166 p.) Unknown ill. (in col.)

Summary / review / table of contents

Front Matter
Introduction
Data foundation
Classifying component failures of a vehicle fleet
Visualizing different kinds of vehicle stress and usage
Identifying usage and stress patterns in a vehicle fleet
Conclusion
Outlook


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Access no. Call number Location Status
00495/20 629.2 Ber E Online Available