Unified Diagnosis and Localization Method of Open Switch Faults in Voltage Source Inverters-Fed Synchronous Reluctance Motors

Fault diagnosis and localization are critical for maintaining the integrity of motor drive systems and optimizing maintenance interventions. This paper introduces a novel methodology for the rapid diagnosis and localization of semiconductor open-switch faults in power converters that drive synchronous reluctance motor drives. By exploring innovative diagnostic techniques, the effectiveness of a signal-based approach for accurately identifying faults is emphasized. A new algorithm is proposed to detect open-switch faults using a powerbased diagnostic approach. The method achieves both accurate fast diagnosis and fault localization. The performance of the technique is evaluated through simulations and experimental data, demonstrating its effectiveness in enhancing the reliability of motor drive systems

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-06-06
DOI
https://doi.org/10.1109/tia.2025.3577113
Citations
5
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
3.65
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article

Unified Diagnosis and Localization Method of Open Switch Faults in Voltage Source Inverters-Fed Synchronous Reluctance Motors

Jacopo Riccio, Séjir Khojet El Khil, Pericle Zanchetta, Chiara Boccaletti et al.
5 citations
IEEE Transactions on Industry Applications
Electric Motor Design and Analysis
3.65
article

Unified Diagnosis and Localization Method of Open Switch Faults in Voltage Source Inverters-Fed Synchronous Reluctance Motors

Jacopo Riccio, Séjir Khojet El Khil, Pericle Zanchetta, Chiara Boccaletti, Muhammad Salman
article en
5 citations

Abstract

Fault diagnosis and localization are critical for maintaining the integrity of motor drive systems and optimizing maintenance interventions. This paper introduces a novel methodology for the rapid diagnosis and localization of semiconductor open-switch faults in power converters that drive synchronous reluctance motor drives. By exploring innovative diagnostic techniques, the effectiveness of a signal-based approach for accurately identifying faults is emphasized. A new algorithm is proposed to detect open-switch faults using a powerbased diagnostic approach. The method achieves both accurate fast diagnosis and fault localization. The performance of the technique is evaluated through simulations and experimental data, demonstrating its effectiveness in enhancing the reliability of motor drive systems

IEEE Transactions on Industry ApplicationsVol. 61(6)
Tunis University (TN), University of Nottingham (GB), University of Pavia (IT), Tunis El Manar University (TN), Sapienza University of Rome (IT)
Openalex Percentile: Top 7%
Electric Motor Design and Analysis
3.65
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