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

Name: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets Based on Load Spectrum Data
Brand: Springer
SKU: 9783658203665
Price: 5458.0 INR
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by Philipp Bergmeir

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ISBN13: 9783658203665
Binding: Paperback
Subject: N/A
Publisher: Springer
Publisher Imprint: Springer Vieweg
Publication Date: December 8, 2017
Pages: 166
Original Price: EUR 74.99
Language: English
Edition: 2018
Item Weight: 265 grams
BISAC Subject(s): Automotive, Data Science / Data Analytics, and Artificial Intelligence / Computer Vision & Pattern Recognition

About The Book

From the Back Cover
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.
Contents

Classifying Component Failures of a Vehicle Fleet
Visualising Different Kinds of Vehicle Stress and Usage
Identifying Usage and Stress Patterns in a Vehicle Fleet

Target Groups

Students and scientists in the field of automotive engineering and data science
Engineers in the automotive industry

About the AuthorPhilipp 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.

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.

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