Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data 1st ed.

Author

• Bergmeir, Philipp

Additional Author(s)

-

Publisher

Wiesbaden: Springer Vieweg, 2018

Language

English

ISBN

9783658203672

Series

Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart

Subject(s)

• DATA MINING

Notes

. .

Abstract

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

Number of Page(s)

1 online resource (xxxii, 166 p.)

Dimension

-

Other Desc.

ill. (in col.)

Summary / Review / Table of Content

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

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00495/20	629.2 Ber E	Online !	Available