Research on Inter-Turn Short Circuit Fault Diagnosis of Electromechanical Actuator Based on Transfer Learning and VGG16

Research on Inter-Turn Short Circuit Fault Diagnosis of Electromechanical Actuator Based on Transfer Learning and VGG16

In this paper, an inter-turn short-circuit fault of a permanent magnet synchronous motor in an electromechanical actuator is analyzed, and a fault diagnosis method based on transfer learning with a VGG16 convolution network is proposed. First, a 2D finite element model of an inter-turn short circuit...

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Bibliographic Details
Main Authors: Haibin Huangfu, Yong Zhou, Jianxin Zhang, Shangjun Ma, Qian Fang, Ye Wang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
EMA
PMSM
transfer learning
deep convolutional neural network
fault diagnosis
Online Access:https://www.mdpi.com/2079-9292/11/8/1232

Internet

https://www.mdpi.com/2079-9292/11/8/1232

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