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OverviewPhilipp 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. Full Product DetailsAuthor: Philipp BergmeirPublisher: Springer Fachmedien Wiesbaden Imprint: Springer Vieweg Edition: 1st ed. 2018 Weight: 2.653kg ISBN: 9783658203665ISBN 10: 3658203668 Pages: 166 Publication Date: 08 December 2017 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsClassifying Component Failures of a Vehicle Fleet.- Visualising Different Kinds of Vehicle Stress and Usage.- Identifying Usage and Stress Patterns in a Vehicle Fleet.ReviewsAuthor InformationPhilipp 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. Tab Content 6Author Website:Countries AvailableAll regions |
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