| 000 | 03126nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-658-20367-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220801214221.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171201s2018 gw | s |||| 0|eng d | ||
| 020 |
_a9783658203672 _9978-3-658-20367-2 |
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| 024 | 7 |
_a10.1007/978-3-658-20367-2 _2doi |
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| 050 | 4 | _aTL1-483 | |
| 072 | 7 |
_aTRC _2bicssc |
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_aTEC009090 _2bisacsh |
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_aTRC _2thema |
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| 082 | 0 | 4 |
_a629.2 _223 |
| 100 | 1 |
_aBergmeir, Philipp. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _937040 |
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| 245 | 1 | 0 |
_aEnhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data _h[electronic resource] / _cby Philipp Bergmeir. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2018. |
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| 300 |
_aXXXII, 166 p. 34 illus., 11 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aWissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, _x2567-0352 |
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| 520 | _aPhilipp 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. | ||
| 650 | 0 |
_aAutomotive engineering. _937041 |
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| 650 | 0 |
_aData mining. _93907 |
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| 650 | 0 |
_aPattern recognition systems. _93953 |
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| 650 | 1 | 4 |
_aAutomotive Engineering. _937042 |
| 650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _937043 |
| 650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
| 710 | 2 |
_aSpringerLink (Online service) _937044 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658203665 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658203689 |
| 830 | 0 |
_aWissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, _x2567-0352 _937045 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-20367-2 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c76092 _d76092 |
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