Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning

Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning

The early diagnosis of a motor is important. Many researchers have used deep learning to diagnose motor applications. This paper proposes a one-dimensional convolutional neural network for the diagnosis of permanent magnet synchronous motors. The one-dimensional convolutional neural network model is...

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Bibliographic Details
Main Authors: Chiao-Sheng Wang, I-Hsi Kao, Jau-Woei Perng
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
class feature map
convolutional neural network
deep learning
fault diagnosis
permanent magnet synchronous motor
Online Access:https://www.mdpi.com/1424-8220/21/11/3608

Internet

https://www.mdpi.com/1424-8220/21/11/3608

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