Design of Fault Diagnosis System for Wind Power Gearbox Based on Labview

Given the continuous growth of wind power generation, the reliability and stability of wind turbine gearboxes have become pivotal areas of research. Due to the inclement climatic conditions and the challenges associated with maintenance, wind turbine gearboxes are susceptible to failures, which in turn impacts the overall operational efficiency of the turbines. This paper proposes a gearbox fault diagnosis system, which is designed using Labview software. Initially, a comprehensive analysis of the gearbox's critical components is conducted, encompassing gears, rotors, and rolling bearings. The paper then goes on to implement the fault simulation and diagnosis functions of the gearbox using Labview software, together with a series of effective software development strategies. The experimental results demonstrate the system's capacity to accurately simulate the actual operating conditions of the gearbox under various fault conditions and to successfully diagnose the types of faults that occur. This diagnosis system enhances the accuracy of fault detection and provides reliable data support for the maintenance of wind turbine gearboxes. Furthermore, the system's flexibility and scalability ensure its adaptability to the future diagnosis of a broader range of faults, providing valuable references for enhancing safety and efficiency in the wind power industry.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11020074
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Design of Fault Diagnosis System for Wind Power Gearbox Based on Labview

Su Yang, Lu Yan
Machine Fault Diagnosis Techniques
article

Design of Fault Diagnosis System for Wind Power Gearbox Based on Labview

Su Yang, Lu Yan
article en

Abstract

Given the continuous growth of wind power generation, the reliability and stability of wind turbine gearboxes have become pivotal areas of research. Due to the inclement climatic conditions and the challenges associated with maintenance, wind turbine gearboxes are susceptible to failures, which in turn impacts the overall operational efficiency of the turbines. This paper proposes a gearbox fault diagnosis system, which is designed using Labview software. Initially, a comprehensive analysis of the gearbox's critical components is conducted, encompassing gears, rotors, and rolling bearings. The paper then goes on to implement the fault simulation and diagnosis functions of the gearbox using Labview software, together with a series of effective software development strategies. The experimental results demonstrate the system's capacity to accurately simulate the actual operating conditions of the gearbox under various fault conditions and to successfully diagnose the types of faults that occur. This diagnosis system enhances the accuracy of fault detection and provides reliable data support for the maintenance of wind turbine gearboxes. Furthermore, the system's flexibility and scalability ensure its adaptability to the future diagnosis of a broader range of faults, providing valuable references for enhancing safety and efficiency in the wind power industry.

Shanghai Dianji University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Machine Fault Diagnosis Techniques
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