An Improved Support Vector Machine Method for Fault Diagnosis of Inter-Turn Short Circuit in PMSM with Enhanced Fault Representation

Yue Su; Shukuan Zhang; Jinghao Jiao; Jiankang Zhong; Qianxi Zhao

doi:10.32604/cmes.2026.079927

January 1, 2026Computer Modeling in Engineering & SciencesOpen Access

An Improved Support Vector Machine Method for Fault Diagnosis of Inter-Turn Short Circuit in PMSM with Enhanced Fault Representation

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Key Points

The aim is to enhance fault diagnosis of inter-turn short-circuit faults in PMSMs using a novel method.
Developed a dual-layer optimization framework for fault diagnosis
Utilized Support Vector Machine for processing
Integrated optimization techniques for enhanced fault representation.
Improved accuracy in diagnosing inter-turn short circuits in PMSMs
Demonstrated better fault representation capabilities.

Implication

This framework demonstrates improved fault diagnosis in PMSMs, suggesting better handling of inter-turn short circuits.

Abstract

This paper introduces a novel dual-layer optimization fault diagnosis framework for inter-turn short-circuit (ITSC) faults in permanent magnet synchronous motors (PMSMs). The synergistic of a SABO-optimized VMD for enhanced f... | Find, read and cite all the research you need on Tech Science Press

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Cite This Study

Su et al. (2026) studied this question.

synapsesocial.com/papers/69f2a42a8c0f03fd67763247 https://doi.org/10.32604/cmes.2026.079927

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An Improved Support Vector Machine Method for Fault Diagnosis of Inter-Turn Short Circuit in PMSM with Enhanced Fault Representation

Key Points

Implication

Abstract

Discussion

Cite This Study

An Improved Support Vector Machine Method for Fault Diagnosis of Inter-Turn Short Circuit in PMSM with Enhanced Fault Representation

Key Points

Implication

Abstract

Discussion

Cite This Study

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