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Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	499985117 Erscheint auch als (Druck-Ausgabe): ‡Bergmeir, Philipp: Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data
087q	978-3-658-20366-5
100	Bergmeir, Philipp
331	Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
410	Wiesbaden
412	Springer Fachmedien Wiesbaden
425	2018
425a	2018
433	Online-Ressource (XXXII, 166 p. 34 illus, online resource)
451b	Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
527	Erscheint auch als (Druck-Ausgabe): ‡Bergmeir, Philipp: Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data
540a	ISBN 978-3-658-20367-2
700	\|TRCS
700	\|TRC
700	\|TEC009090
700b	\|629.2
700c	\|TL1-483
750	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 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.
902s	250503840 Hybridfahrzeug
902s	209820519 Fuhrpark
902s	209860928 Hybridantrieb
902s	209008164 Lastkollektiv
902s	213185652 Ausfall <Technik>
902s	209646659 Fehlererkennung
902s	285254774 On-Board-Diagnose
902s	211164178 Merkmalsextraktion
902s	209539372 Automatische Klassifikation
902s	212347217 Data Mining
012	496906526
081	Bergmeir, Philipp: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-658-20367-2