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Article

Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping

by
Xiang Wang
1 and
Yang Du
2,*
1
School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
2
School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 211167, China
*
Author to whom correspondence should be addressed.
Entropy 2024, 26(6), 507; https://doi.org/10.3390/e26060507
Submission received: 17 April 2024 / Revised: 6 June 2024 / Accepted: 8 June 2024 / Published: 11 June 2024
(This article belongs to the Special Issue Entropy Applications in Condition Monitoring and Fault Diagnosis)

Abstract

Vibration monitoring and analysis are important methods in wind turbine gearbox fault diagnosis, and determining how to extract fault characteristics from the vibration signal is of primary importance. This paper presents a fault diagnosis approach based on modified hierarchical fluctuation dispersion entropy of tan-sigmoid mapping (MHFDE_TANSIG) and northern goshawk optimization–support vector machine (NGO–SVM) for wind turbine gearboxes. The tan-sigmoid (TANSIG) mapping function replaces the normal cumulative distribution function (NCDF) of the hierarchical fluctuation dispersion entropy (HFDE) method. Additionally, the hierarchical decomposition of the HFDE method is improved, resulting in the proposed MHFDE_TANSIG method. The vibration signals of wind turbine gearboxes are analyzed using the MHFDE_TANSIG method to extract fault features. The constructed fault feature set is used to intelligently recognize and classify the fault type of the gearboxes with the NGO–SVM classifier. The fault diagnosis methods based on MHFDE_TANSIG and NGO–SVM are applied to the experimental data analysis of gearboxes with different operating conditions. The results show that the fault diagnosis model proposed in this paper has the best performance with an average accuracy rate of 97.25%.
Keywords: gear box; fault diagnosis; tan-sigmoid mapping; modified hierarchical fluctuation dispersion entropy; support vector machine gear box; fault diagnosis; tan-sigmoid mapping; modified hierarchical fluctuation dispersion entropy; support vector machine

Share and Cite

MDPI and ACS Style

Wang, X.; Du, Y. Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. Entropy 2024, 26, 507. https://doi.org/10.3390/e26060507

AMA Style

Wang X, Du Y. Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. Entropy. 2024; 26(6):507. https://doi.org/10.3390/e26060507

Chicago/Turabian Style

Wang, Xiang, and Yang Du. 2024. "Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping" Entropy 26, no. 6: 507. https://doi.org/10.3390/e26060507

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