Severity Estimation of Inter-Turn Short-Circuit Fault in PMSM for Agricultural Machinery Using Bayesian Optimization and Enhanced Convolutional Neural Network Architecture

Severity Estimation of Inter-Turn Short-Circuit Fault in PMSM for Agricultural Machinery Using Bayesian Optimization and Enhanced Convolutional Neural Network Architecture

The permanent magnet synchronous motor (PMSM) is a key power component in agricultural machinery. The harsh and variable working environments encountered during the operation of agricultural machinery pose significant challenges to the safe operation of PMSMs. Early diagnosis of inter-turn short-cir...

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Bibliographic Details
Main Authors: Mingsheng Wang, Wuxuan Lai, Peng Sun, Hong Li, Qiang Song
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
agricultural mechanization
fault diagnosis
permanent magnet synchronous motors (PMSMs)
inter-turn short-circuit (ITSC) fault
Bayesian optimization
Online Access:https://www.mdpi.com/2077-0472/14/12/2214

Internet

https://www.mdpi.com/2077-0472/14/12/2214

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