Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method

The Empirical Mode Decomposition (EMD),as an empirical method,lacks rigorous theoretical proof. For this reason,EMD in practical application is confronted by many problems,which make EMD hard to extract fault features from vibration data of complex wind-turbine gearboxes. The Fourier decomposition m...

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Main Authors: Lin Jinshan, Dou Chunhong, Zhao Guangsheng, Yin Jianhua
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.025
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author Lin Jinshan
Dou Chunhong
Zhao Guangsheng
Yin Jianhua
author_facet Lin Jinshan
Dou Chunhong
Zhao Guangsheng
Yin Jianhua
author_sort Lin Jinshan
collection DOAJ
description The Empirical Mode Decomposition (EMD),as an empirical method,lacks rigorous theoretical proof. For this reason,EMD in practical application is confronted by many problems,which make EMD hard to extract fault features from vibration data of complex wind-turbine gearboxes. The Fourier decomposition method (FDM) is a novel method for processing non-stationary and nonlinear signals. With a firm theoretical basis,FDM has the capability for overcoming deficiencies of EMD. The FDM is used to analyze vibration data of wind-turbine gearboxes and a method for fault diagnosis of wind-turbine gearboxes based on FDM is proposed. Application to fault diagnosis of a realistic wind-turbine gearbox shows that the proposed method can effectively diagnose faults of wind-turbine gearboxes and has a clear advantage over the method based on each of spectrum analysis,EMD and wavelet decomposition.
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spelling doaj.art-ed9e5b17d643460480a983b7680957382023-05-26T09:50:01ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014213213629939553Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition MethodLin JinshanDou ChunhongZhao GuangshengYin JianhuaThe Empirical Mode Decomposition (EMD),as an empirical method,lacks rigorous theoretical proof. For this reason,EMD in practical application is confronted by many problems,which make EMD hard to extract fault features from vibration data of complex wind-turbine gearboxes. The Fourier decomposition method (FDM) is a novel method for processing non-stationary and nonlinear signals. With a firm theoretical basis,FDM has the capability for overcoming deficiencies of EMD. The FDM is used to analyze vibration data of wind-turbine gearboxes and a method for fault diagnosis of wind-turbine gearboxes based on FDM is proposed. Application to fault diagnosis of a realistic wind-turbine gearbox shows that the proposed method can effectively diagnose faults of wind-turbine gearboxes and has a clear advantage over the method based on each of spectrum analysis,EMD and wavelet decomposition.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.025Fourier decomposition method (FDM);Empirical mode decomposition (EMD);Windturbine gearbox;Fault diagnosis
spellingShingle Lin Jinshan
Dou Chunhong
Zhao Guangsheng
Yin Jianhua
Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
Jixie chuandong
Fourier decomposition method (FDM);Empirical mode decomposition (EMD);Windturbine gearbox;Fault diagnosis
title Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
title_full Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
title_fullStr Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
title_full_unstemmed Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
title_short Fault Diagnosis of Wind-turbine Gearboxes based on Fourier Decomposition Method
title_sort fault diagnosis of wind turbine gearboxes based on fourier decomposition method
topic Fourier decomposition method (FDM);Empirical mode decomposition (EMD);Windturbine gearbox;Fault diagnosis
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.025
work_keys_str_mv AT linjinshan faultdiagnosisofwindturbinegearboxesbasedonfourierdecompositionmethod
AT douchunhong faultdiagnosisofwindturbinegearboxesbasedonfourierdecompositionmethod
AT zhaoguangsheng faultdiagnosisofwindturbinegearboxesbasedonfourierdecompositionmethod
AT yinjianhua faultdiagnosisofwindturbinegearboxesbasedonfourierdecompositionmethod