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A LabVIEW-based fault diagnosis system for offshore wind turbine planetary gearboxes.

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Title: A LabVIEW-based fault diagnosis system for offshore wind turbine planetary gearboxes.
Authors: Shaohua, Dong1 shdong@cup.edu.cn, Junhui, Zhang2 1910483596@qq.com
Source: Journal of Vibroengineering. May2026, Vol. 28 Issue 3, p599-616. 18p.
Subjects: Fault diagnosis, Planetary gearing, LabVIEW (Computer software), Offshore wind power plants, Diagnosis, Real-time computing, Mechanical vibration research
Abstract: The rapid expansion of offshore wind energy underscores the critical need for reliable gearbox monitoring, especially for failure-prone planetary gearboxes in harsh marine environments. To address this, we propose two novel, physics-informed diagnostic parameters: the Filtered Root Mean Square (FRMS) and the Normalized Summation of the positive amplitudes of the Difference Spectrum (NSDS). These parameters enhance fault detection by isolating fault-related vibrations from healthy gearbox modulation. Furthermore, an integrated, real-time diagnosis system implementing these parameters is developed using LabVIEW. Experimental validation on a dedicated test bench demonstrates the system's effectiveness, achieving a diagnostic accuracy of 95.4 % and outperforming traditional methods. This work provides a practical and efficient solution for condition monitoring of offshore wind turbine gearboxes. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibroengineering is the property of Extrica 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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PubType: Academic Journal
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  Data: A LabVIEW-based fault diagnosis system for offshore wind turbine planetary gearboxes.
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  Data: <searchLink fieldCode="AR" term="%22Shaohua%2C+Dong%22">Shaohua, Dong</searchLink><relatesTo>1</relatesTo><i> shdong@cup.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Junhui%2C+Zhang%22">Junhui, Zhang</searchLink><relatesTo>2</relatesTo><i> 1910483596@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>. May2026, Vol. 28 Issue 3, p599-616. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Planetary+gearing%22">Planetary gearing</searchLink><br /><searchLink fieldCode="DE" term="%22LabVIEW+%28Computer+software%29%22">LabVIEW (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Offshore+wind+power+plants%22">Offshore wind power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+vibration+research%22">Mechanical vibration research</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The rapid expansion of offshore wind energy underscores the critical need for reliable gearbox monitoring, especially for failure-prone planetary gearboxes in harsh marine environments. To address this, we propose two novel, physics-informed diagnostic parameters: the Filtered Root Mean Square (FRMS) and the Normalized Summation of the positive amplitudes of the Difference Spectrum (NSDS). These parameters enhance fault detection by isolating fault-related vibrations from healthy gearbox modulation. Furthermore, an integrated, real-time diagnosis system implementing these parameters is developed using LabVIEW. Experimental validation on a dedicated test bench demonstrates the system's effectiveness, achieving a diagnostic accuracy of 95.4 % and outperforming traditional methods. This work provides a practical and efficient solution for condition monitoring of offshore wind turbine gearboxes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vibroengineering is the property of Extrica 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:
      – Type: doi
        Value: 10.21595/jve.2026.25828
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 599
    Subjects:
      – SubjectFull: Fault diagnosis
        Type: general
      – SubjectFull: Planetary gearing
        Type: general
      – SubjectFull: LabVIEW (Computer software)
        Type: general
      – SubjectFull: Offshore wind power plants
        Type: general
      – SubjectFull: Diagnosis
        Type: general
      – SubjectFull: Real-time computing
        Type: general
      – SubjectFull: Mechanical vibration research
        Type: general
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      – TitleFull: A LabVIEW-based fault diagnosis system for offshore wind turbine planetary gearboxes.
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            NameFull: Shaohua, Dong
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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