Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme

Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine man...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Pohlandt, Christian
Формат: Online
Хэл сонгох:герман
Хэвлэсэн: KIT Scientific Publishing 2021
Нөхцлүүд:
Онлайн хандалт:34171
Шошгууд: Шошго нэмэх
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author Pohlandt, Christian
author_browse Pohlandt, Christian
author_facet Pohlandt, Christian
author_sort Pohlandt, Christian
collection Directory of Open Access Books
description Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine management.
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institution Directory of Open Access Books
language ger
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-504402024-04-09T23:15:32Z Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme Pohlandt, Christian T1-995 Elektrische Antriebssysteme Maschinelles Lernen off-highway machines data mining Data Mining Künstliche Intelligenz machine learning Deep Learning artificial intelligence deep learning Electric propulsion systems Intelligentes Gesamtmaschinenmanagement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Innovative electric propulsion systems are increasingly applied to off-highway machines, to gain efficiency optimization of the work process. This book focuses on the aspect of work process optimization and achieves forward-looking results through the use of intelligent, adaptive overall machine management. 2021-02-11T16:27:05Z 2021-02-11T16:27:05Z 2019-07-28 18:37:01 2018 book 34171 18696058 9783731507741 https://directory.doabooks.org/handle/20.500.12854/50440 ger Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731507741 KIT Scientific Publishing 10.5445/KSP/1000081063 10.5445/KSP/1000081063 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731507741 XVI, 150 p. open access
spellingShingle T1-995
Elektrische Antriebssysteme
Maschinelles Lernen
off-highway machines
data mining
Data Mining
Künstliche Intelligenz
machine learning
Deep Learning
artificial intelligence
deep learning
Electric propulsion systems
Intelligentes Gesamtmaschinenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Pohlandt, Christian
Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title_full Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title_fullStr Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title_full_unstemmed Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title_short Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
title_sort intelligentes gesamtmaschinenmanagement fur elektrische antriebssysteme
topic T1-995
Elektrische Antriebssysteme
Maschinelles Lernen
off-highway machines
data mining
Data Mining
Künstliche Intelligenz
machine learning
Deep Learning
artificial intelligence
deep learning
Electric propulsion systems
Intelligentes Gesamtmaschinenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
Elektrische Antriebssysteme
Maschinelles Lernen
off-highway machines
data mining
Data Mining
Künstliche Intelligenz
machine learning
Deep Learning
artificial intelligence
deep learning
Electric propulsion systems
Intelligentes Gesamtmaschinenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 34171
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