DEIFY
发表于 2025-3-21 19:51:09
书目名称ELECTRIMACS 2022影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0300406<br><br> <br><br>书目名称ELECTRIMACS 2022读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0300406<br><br> <br><br>
归功于
发表于 2025-3-21 22:50:44
Serge Pierfederici,Jean-Philippe MartinBrings together selected papers from the 2022 occurrence of the prestigious ELECTRIMACS conference.Presents 21 papers on simulation methods in electrical engineering and innovative applications.Provid
headlong
发表于 2025-3-22 03:54:52
Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/e/image/300406.jpg
引起痛苦
发表于 2025-3-22 06:34:14
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权宜之计
发表于 2025-3-22 10:22:10
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magnanimity
发表于 2025-3-22 14:58:28
ELECTRIMACS 2022978-3-031-55696-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
magnanimity
发表于 2025-3-22 20:29:37
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传染
发表于 2025-3-22 21:31:50
https://doi.org/10.1057/978-1-137-49376-7enient way to assess motor designs and their control strategies. This contribution presents the development of a software tool allowing the computation of efficiency maps of synchronous machines. This tool could be applied to all synchronous machines types: wound field, PM, hybrid excited and synchr
BARK
发表于 2025-3-23 02:39:20
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厨师
发表于 2025-3-23 09:24:59
https://doi.org/10.1007/978-981-10-6829-4 solutions for the accurate monitoring and the on-line diagnosis of the PV panels are fundamental for the maintenance of current PV installations and the development of new ones. In this paper a model based diagnostic technique combined with a neural network classifier has been developed for an earl