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Guanghui Du, Guiyuan Zhang, Hui Li and Chengshuai Hu
At present, the induction motor (IM), synchronous reluctance motor (SynRM), ferrite-assisted synchronous reluctance motor (ferrite-assisted SynRM) and interior permanent magnet motor (IPM) are research hotspots, but comprehensive comparative research on ...
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David Checa, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, José Alfonso Antonino-Daviu and Andrés Bustillo
The incorporation of new technologies as training methods, such as virtual reality (VR), facilitates instruction when compared to traditional approaches, which have shown strong limitations in their ability to engage young students who have grown up in t...
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Hong-Chan Chang, Yi-Che Wang, Yu-Yang Shih and Cheng-Chien Kuo
A homemade defective model of an induction motor was created by the laboratory team to acquire the vibration acceleration signals of five operating states of an induction motor under different loads. Two major learning models, namely a deep convolutional...
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Chibuzo Nwabufo Okwuosa, Ugochukwu Ejike Akpudo and Jang-Wook Hur
In industry, electric motors such as the squirrel cage induction motor (SCIM) generate motive power and are particularly popular due to their low acquisition cost, strength, and robustness. Along with these benefits, they have minimal maintenance costs a...
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Jakub Kellner, Slavomír Ka?cák and ?elmíra Ferková
Multiphase electric motors in cooperation with power semiconductor converters belong to the future of electric drives. This is because of their better properties compared to three-phase motors, such as better fault tolerance. How a multiphase motor will ...
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Farzin Piltan, Cheol-Hong Kim and Jong-Myon Kim
Bearings cause the most breakdowns in induction motors, which can result in significant economic losses. If faults in the bearings are not detected in time, they can cause the whole system to fail. System failures can lead to unexpected breakdowns, threa...
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Bilal Asad, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassõlkin, Payam Shams Ghafarokhi and Karolina Kudelina
This paper presents the modeling and the broken rotor bar fault diagnostics by time?frequency analysis of the motor current under an extended startup transient time. The transient current-based nonstationary signal is retrieved and investigated for its t...
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Matteo Carbonieri and Nicola Bianchi
The aim of the work is to describe and propose a new approach for the induction machine analysis. The application of the method is immediate for fast and computational efficient procedures for the design optimization and precise performance computation.
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Victor Goman, Vladimir Prakht, Vadim Kazakbaev and Vladimir Dmitrievskii
The presented results can be used to evaluate the energy-saving potential and ecological impact of electric motors of various energy efficiency classes in various applications of electric drive.
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Chun-Yao Lee and Wen-Cheng Lin
This study proposes a fast correlation-based filter with particle-swarm optimization method. In FCBF?PSO, the weights of the features selected by the fast correlation-based filter are optimized and combined with backpropagation neural network as a classi...
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