Research on open-circuit fault diagnosis methods for parallel branches in open-end winding permanent magnet synchronous motors.

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Title: Research on open-circuit fault diagnosis methods for parallel branches in open-end winding permanent magnet synchronous motors.
Authors: Chen, Zhenfei1 (AUTHOR) chenzhenfei@hhu.edu.cn, Zhaoxu, Shang1 (AUTHOR), Lei, Wang1 (AUTHOR), Yifan, Pu1 (AUTHOR), Baiou, Shi2 (AUTHOR)
Source: International Journal of Applied Electromagnetics & Mechanics. Mar2026, Vol. 80 Issue 3, p73-84. 12p.
Subjects: Fault diagnosis, Parallel electric circuits, Permanent magnet motors, Matrices (Mathematics), Root-mean-squares, Electric currents
Abstract: Background: Multi-branch parallel permanent magnet synchronous motors (PMSM) are prone to parallel branch open-circuit faults (PBOCF), which may result in winding overheating, insulation damage, and other reliability issues. Objective: This study aims to propose an effective fault diagnosis method that can distinguish between open-circuited faults (OCF) and PBOCF in PMSMs, while maintaining robustness under varying operating conditions. Methods: The winding function method is employed to analyze the inductance matrix differences between healthy and faulty states. Based on this analysis, mathematical models of PMSM under both conditions are established. Fault diagnosis is realized by comparing the zero-sequence current (ZSC) AC components before and after the fault, and the faulty phase is identified by analyzing the root mean square (RMS) values of the three-phase currents. Results: Simulation results verify the effectiveness of the proposed method. The approach successfully distinguishes between OCF and PBOCF without the need for additional hardware. Conclusions: The proposed method provides a reliable and robust solution for diagnosing PBOCF in PMSM, demonstrating strong resistance to variations in torque and speed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Applied Electromagnetics & Mechanics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Research on open-circuit fault diagnosis methods for parallel branches in open-end winding permanent magnet synchronous motors.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Zhenfei%22">Chen, Zhenfei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenzhenfei@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhaoxu%2C+Shang%22">Zhaoxu, Shang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lei%2C+Wang%22">Lei, Wang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yifan%2C+Pu%22">Yifan, Pu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baiou%2C+Shi%22">Baiou, Shi</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Applied+Electromagnetics+%26+Mechanics%22">International Journal of Applied Electromagnetics & Mechanics</searchLink>. Mar2026, Vol. 80 Issue 3, p73-84. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+electric+circuits%22">Parallel electric circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Permanent+magnet+motors%22">Permanent magnet motors</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices+%28Mathematics%29%22">Matrices (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Root-mean-squares%22">Root-mean-squares</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+currents%22">Electric currents</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Multi-branch parallel permanent magnet synchronous motors (PMSM) are prone to parallel branch open-circuit faults (PBOCF), which may result in winding overheating, insulation damage, and other reliability issues. Objective: This study aims to propose an effective fault diagnosis method that can distinguish between open-circuited faults (OCF) and PBOCF in PMSMs, while maintaining robustness under varying operating conditions. Methods: The winding function method is employed to analyze the inductance matrix differences between healthy and faulty states. Based on this analysis, mathematical models of PMSM under both conditions are established. Fault diagnosis is realized by comparing the zero-sequence current (ZSC) AC components before and after the fault, and the faulty phase is identified by analyzing the root mean square (RMS) values of the three-phase currents. Results: Simulation results verify the effectiveness of the proposed method. The approach successfully distinguishes between OCF and PBOCF without the need for additional hardware. Conclusions: The proposed method provides a reliable and robust solution for diagnosing PBOCF in PMSM, demonstrating strong resistance to variations in torque and speed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Applied Electromagnetics & Mechanics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1177/13835416261417766
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 73
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      – SubjectFull: Fault diagnosis
        Type: general
      – SubjectFull: Parallel electric circuits
        Type: general
      – SubjectFull: Permanent magnet motors
        Type: general
      – SubjectFull: Matrices (Mathematics)
        Type: general
      – SubjectFull: Root-mean-squares
        Type: general
      – SubjectFull: Electric currents
        Type: general
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      – TitleFull: Research on open-circuit fault diagnosis methods for parallel branches in open-end winding permanent magnet synchronous motors.
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            NameFull: Chen, Zhenfei
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            NameFull: Zhaoxu, Shang
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            NameFull: Lei, Wang
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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