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Multiscale Kernel-Based Residual CNN for Estimation of Inter-Turn Short Circuit Fault in PMSM

The diagnosis of an inter-turn short circuit (ITSC) fault at its early stage is very important in permanent magnet synchronous motors as these faults can lead to disastrous results. In this paper, a multiscale kernel-based residual convolutional neural network (CNN) algorithm is proposed for the dia...

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Autors principals: Qiang Song, Mingsheng Wang, Wuxuan Lai, Sifang Zhao
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2022-09-01
Col·lecció:Sensors
Matèries:
multiscale architecture
fault diagnosis
inter-turn short circuit (ITSC) fault
permanent magnet synchronous motors (PMSM)
dilated convolutional neural networks (CNN)
Accés en línia:https://www.mdpi.com/1424-8220/22/18/6870
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