Research on Demagnetization Fault Diagnosis of Permanent Magnet Linear Synchronous Motor Based on SqueezeNet Neural Network

This paper studies the demagnetization fault diagnosis method of Permanent Magnet Linear Synchronous Motor based on SqueezeNet neural network. A new demagnetization fault signal acquisition method is proposed to adapt to the spatial topological structure constraints of the double-stator coreless mot

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Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354596
Primary Topic
Electric Power Systems and Control
Type
article
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article

Research on Demagnetization Fault Diagnosis of Permanent Magnet Linear Synchronous Motor Based on SqueezeNet Neural Network

Tian Guo
Electric Power Systems and Control
article

Research on Demagnetization Fault Diagnosis of Permanent Magnet Linear Synchronous Motor Based on SqueezeNet Neural Network

Tian Guo
article en

Abstract

This paper studies the demagnetization fault diagnosis method of Permanent Magnet Linear Synchronous Motor based on SqueezeNet neural network. A new demagnetization fault signal acquisition method is proposed to adapt to the spatial topological structure constraints of the double-stator coreless mot

Anhui University (CN)
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Openalex Percentile: Top 96%
Electric Power Systems and Control
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Research on Demagnetization Fault Diagnosis of Permanent Magnet Linear Synchronous Motor Based on SqueezeNet Neural Network — Tian Guo · (2025) | TGRS Research Map | TGRS