Classification of motor faults based on transmission coefficient and reflection coefficient of omni-directional antenna using DCNN

作者：

Highlights：

• Induction motor fault classification using S-parameter of antenna.

• Vibration signal pattern recognition using deep convolutional neural network.

• Non invasive method of monitoring motor fault.

• Classification accuracy decreases as the antenna moves away from source of vibration.

摘要

•Induction motor fault classification using S-parameter of antenna.•Vibration signal pattern recognition using deep convolutional neural network.•Non invasive method of monitoring motor fault.•Classification accuracy decreases as the antenna moves away from source of vibration.

论文关键词：Antenna,Convolutional neural network,Induction motor,Classification,Spectrogram,Vibration

论文评审过程：Received 16 April 2021, Revised 2 March 2022, Accepted 3 March 2022, Available online 12 March 2022, Version of Record 22 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116832