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

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Bibliographic Details
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]
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Database: Engineering Source
Description
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]
ISSN:13928716
DOI:10.21595/jve.2026.25828