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Experimental fault diagnosis for cylindrical roller bearings in high-speed railway motors via stator current analysis and demodulation techniques.

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Title: Experimental fault diagnosis for cylindrical roller bearings in high-speed railway motors via stator current analysis and demodulation techniques.
Authors: Liu, Xinchang1 (AUTHOR) kuanxin07@163.com, Sun, Qi2 (AUTHOR)
Source: Journal of Vibration & Control. May2026, Vol. 32 Issue 9/10, p2379-2391. 13p.
Subjects: Roller bearings, Demodulation, Traction motors, Induction machinery, Fault diagnosis
Abstract: Traction motor roller bearings are one of the critical structures for health monitoring of high-speed train vehicles. The technique of motor current signature analysis (MCSA) is a novel way to monitor the mechanical system with induction machines in recent years. In this paper, a fault diagnosis method for motor bearings in high-speed railway vehicles based on MCSA is proposed. It is a sensor-less way for the health monitoring of motor bearings because the induction machine itself can be considered as a sensor. The weakness that vibration data is sensitive to measuring points is avoided. To verify the feasibility of the proposed method, a set of experiments using an induction machine with faulty bearings from a real high-speed train are processed. Compared with the examples under healthy conditions in the time domain, the RMS (Root Mean Square) values of motor stator currents under faulty conditions show an around 20% increase. The modulation phenomena usually happen on motor currents according to both theoretical analysis and practical measurements. A demodulation preprocessing is applied to capture the fault-related harmonic components in the frequency domain. To eliminate the influence of preprocessing algorithms on the result, three different demodulation techniques (HT, WT, and TEO) are compared. The signal processing results prove that it is feasible to monitor the health status of motor bearings in high-speed train based on MCSA. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 193250573
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PubTypeId: academicJournal
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IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Experimental fault diagnosis for cylindrical roller bearings in high-speed railway motors via stator current analysis and demodulation techniques.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Xinchang%22">Liu, Xinchang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kuanxin07@163.com</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Qi%22">Sun, Qi</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibration+%26+Control%22">Journal of Vibration & Control</searchLink>. May2026, Vol. 32 Issue 9/10, p2379-2391. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Roller+bearings%22">Roller bearings</searchLink><br /><searchLink fieldCode="DE" term="%22Demodulation%22">Demodulation</searchLink><br /><searchLink fieldCode="DE" term="%22Traction+motors%22">Traction motors</searchLink><br /><searchLink fieldCode="DE" term="%22Induction+machinery%22">Induction machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Traction motor roller bearings are one of the critical structures for health monitoring of high-speed train vehicles. The technique of motor current signature analysis (MCSA) is a novel way to monitor the mechanical system with induction machines in recent years. In this paper, a fault diagnosis method for motor bearings in high-speed railway vehicles based on MCSA is proposed. It is a sensor-less way for the health monitoring of motor bearings because the induction machine itself can be considered as a sensor. The weakness that vibration data is sensitive to measuring points is avoided. To verify the feasibility of the proposed method, a set of experiments using an induction machine with faulty bearings from a real high-speed train are processed. Compared with the examples under healthy conditions in the time domain, the RMS (Root Mean Square) values of motor stator currents under faulty conditions show an around 20% increase. The modulation phenomena usually happen on motor currents according to both theoretical analysis and practical measurements. A demodulation preprocessing is applied to capture the fault-related harmonic components in the frequency domain. To eliminate the influence of preprocessing algorithms on the result, three different demodulation techniques (HT, WT, and TEO) are compared. The signal processing results prove that it is feasible to monitor the health status of motor bearings in high-speed train based on MCSA. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. 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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    Identifiers:
      – Type: doi
        Value: 10.1177/10775463251332706
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2379
    Subjects:
      – SubjectFull: Roller bearings
        Type: general
      – SubjectFull: Demodulation
        Type: general
      – SubjectFull: Traction motors
        Type: general
      – SubjectFull: Induction machinery
        Type: general
      – SubjectFull: Fault diagnosis
        Type: general
    Titles:
      – TitleFull: Experimental fault diagnosis for cylindrical roller bearings in high-speed railway motors via stator current analysis and demodulation techniques.
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          Name:
            NameFull: Liu, Xinchang
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          Name:
            NameFull: Sun, Qi
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10775463
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              Value: 32
            – Type: issue
              Value: 9/10
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            – TitleFull: Journal of Vibration & Control
              Type: main
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