Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data (Wissenschaftliche Reihe Fahrzeugtechnik Universit�t Stuttgart)

Philipp Bergmeir

ISBN 10: 3658203668 / ISBN 13: 9783658203665

Published by Springer Vieweg 2017-12-08, 2017

About this Item

Seller Inventory # 6666-IUK-9783658203665

Bibliographic Details

• Title: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data (Wissenschaftliche Reihe Fahrzeugtechnik Universit�t Stuttgart)
• Publisher: Springer Vieweg 2017-12-08
• Publication Date: 2017
• Language: English
• ISBN 10: 3658203668
• ISBN 13: 9783658203665
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.

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.