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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Главные авторы:	Qiang Song, Mingsheng Wang, Wuxuan Lai, Sifang Zhao
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-09-01
Серии:	Sensors
Предметы:	multiscale architecture fault diagnosis inter-turn short circuit (ITSC) fault permanent magnet synchronous motors (PMSM) dilated convolutional neural networks (CNN)
Online-ссылка:	https://www.mdpi.com/1424-8220/22/18/6870
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