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

Éditeur :

Springer Vieweg

Paru le : 2017-12-01

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 de...
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Description du livre


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.
 

À propos

Auteur
Philipp Bergmeir
Éditeur
Springer Vieweg
Collection
n.c
Parution
2017-12-01
Pages
166 pages
EAN papier
9783658203665

Auteur(s) du livre


Defaut-Illustration Philipp Bergmeir
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.

Caractéristiques détaillées - droits

EAN PDF
9783658203672
Prix
79,11 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
4229 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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