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Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

  • Book
  • © 2018

Overview

Authors:
  1. Philipp Bergmeir

    1. Lehrstuhl für Fahrzeugantriebe, Universität Stuttgart/IVK, Fakultät 7 , Stuttgart, Germany

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  • New Approaches for Identifying Harmful Vehicle Usage Patterns
  • Includes supplementary material: sn.pub/extras

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About this book

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.

 

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XXXII
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  2. Introduction

    • Philipp Bergmeir
    Pages 1-6

  3. Data foundation

    • Philipp Bergmeir
    Pages 7-17

  4. Classifying component failures of a vehicle fleet

    • Philipp Bergmeir
    Pages 19-82

  5. Visualizing different kinds of vehicle stress and usage

    • Philipp Bergmeir
    Pages 83-114

  6. Identifying usage and stress patterns in a vehicle fleet

    • Philipp Bergmeir
    Pages 115-146

  7. Conclusion

    • Philipp Bergmeir
    Pages 147-151

  8. Outlook

    • Philipp Bergmeir
    Pages 153-153

  9. Back Matter

    Pages 155-166
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Authors and Affiliations

  • Lehrstuhl für Fahrzeugantriebe, Universität Stuttgart/IVK, Fakultät 7 , Stuttgart, Germany

    Philipp Bergmeir

About the author

Philipp Bergmeir did a PhD in the doctoral program “Promotionskolleg HYBRID” at the Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, in cooperation with the Esslingen University of Applied Sciences and a well-known vehicle manufacturer. Currently, he is working as a data scientist in the automotive industry.

Bibliographic Information

  • Book Title: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

  • Authors: Philipp Bergmeir

  • Series Title: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart

  • DOI: https://doi.org/10.1007/978-3-658-20367-2

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018

  • Softcover ISBN: 978-3-658-20366-5Published: 08 December 2017

  • eBook ISBN: 978-3-658-20367-2Published: 01 December 2017

  • Series ISSN: 2567-0042

  • Series E-ISSN: 2567-0352

  • Edition Number: 1

  • Number of Pages: XXXII, 166

  • Number of Illustrations: 23 b/w illustrations, 11 illustrations in colour

  • Topics: Automotive Engineering, Data Mining and Knowledge Discovery, Pattern Recognition

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