Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping.
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 dispersi...
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Online Access: | https://doi.org/10.3390/e26060507 https://pubmed.ncbi.nlm.nih.gov/38920516 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11202543/ |
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ftpubmed:38920516 2024-09-15T18:25:45+00:00 Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. Wang, Xiang Du, Yang 2024 Jun 11 https://doi.org/10.3390/e26060507 https://pubmed.ncbi.nlm.nih.gov/38920516 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11202543/ eng eng MDPI https://doi.org/10.3390/e26060507 https://pubmed.ncbi.nlm.nih.gov/38920516 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11202543/ Entropy (Basel) ISSN:1099-4300 Volume:26 Issue:6 fault diagnosis gear box modified hierarchical fluctuation dispersion entropy support vector machine tan-sigmoid mapping Journal Article 2024 ftpubmed https://doi.org/10.3390/e26060507 2024-06-28T16:02:00Z 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%. Article in Journal/Newspaper Northern Goshawk PubMed Central (PMC) Entropy 26 6 507 |
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topic |
fault diagnosis gear box modified hierarchical fluctuation dispersion entropy support vector machine tan-sigmoid mapping |
spellingShingle |
fault diagnosis gear box modified hierarchical fluctuation dispersion entropy support vector machine tan-sigmoid mapping Wang, Xiang Du, Yang Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
topic_facet |
fault diagnosis gear box modified hierarchical fluctuation dispersion entropy support vector machine tan-sigmoid mapping |
description |
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%. |
format |
Article in Journal/Newspaper |
author |
Wang, Xiang Du, Yang |
author_facet |
Wang, Xiang Du, Yang |
author_sort |
Wang, Xiang |
title |
Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
title_short |
Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
title_full |
Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
title_fullStr |
Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
title_full_unstemmed |
Fault Diagnosis of Wind Turbine Gearbox Based on Modified Hierarchical Fluctuation Dispersion Entropy of Tan-Sigmoid Mapping. |
title_sort |
fault diagnosis of wind turbine gearbox based on modified hierarchical fluctuation dispersion entropy of tan-sigmoid mapping. |
publisher |
MDPI |
publishDate |
2024 |
url |
https://doi.org/10.3390/e26060507 https://pubmed.ncbi.nlm.nih.gov/38920516 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11202543/ |
genre |
Northern Goshawk |
genre_facet |
Northern Goshawk |
op_source |
Entropy (Basel) ISSN:1099-4300 Volume:26 Issue:6 |
op_relation |
https://doi.org/10.3390/e26060507 https://pubmed.ncbi.nlm.nih.gov/38920516 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11202543/ |
op_doi |
https://doi.org/10.3390/e26060507 |
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