Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network
For the fault diagnosis of the pitting,gear wear and tooth breakage in the gearbox of wind turbines,a fault diagnosis method based on EEMD and wavelet threshold denoising and cuckoo search to optimize BP neural network is proposed. The EEMD decomposition and wavelet threshold denoising method are us...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2019-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.01.020 |
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| _version_ | 1841548743111868416 |
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| author | Wang Hongjun Zhao Yuanlu Zhao Hui Yue Youjun |
| author_facet | Wang Hongjun Zhao Yuanlu Zhao Hui Yue Youjun |
| author_sort | Wang Hongjun |
| collection | DOAJ |
| description | For the fault diagnosis of the pitting,gear wear and tooth breakage in the gearbox of wind turbines,a fault diagnosis method based on EEMD and wavelet threshold denoising and cuckoo search to optimize BP neural network is proposed. The EEMD decomposition and wavelet threshold denoising method are used to preprocess the fault vibration signals and suppress the noise interference in the original vibration signals. The cuckoo search is used to optimize the BP neural network to diagnose the preprocessed signals. The wavelet threshold can better denoise the high frequency components in the EEMD decomposition,and the CS-BP neural network has accurate pattern recognition accuracy and excellent global optimization ability. The simulation shows that the diagnostic method has good accuracy,speed and success rate,and is of high use significance. |
| format | Article |
| id | doaj-art-a295773029ef42ecaa02d20d8ae1e94a |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-a295773029ef42ecaa02d20d8ae1e94a2025-01-10T14:02:37ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-01-014310010629940447Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural NetworkWang HongjunZhao YuanluZhao HuiYue YoujunFor the fault diagnosis of the pitting,gear wear and tooth breakage in the gearbox of wind turbines,a fault diagnosis method based on EEMD and wavelet threshold denoising and cuckoo search to optimize BP neural network is proposed. The EEMD decomposition and wavelet threshold denoising method are used to preprocess the fault vibration signals and suppress the noise interference in the original vibration signals. The cuckoo search is used to optimize the BP neural network to diagnose the preprocessed signals. The wavelet threshold can better denoise the high frequency components in the EEMD decomposition,and the CS-BP neural network has accurate pattern recognition accuracy and excellent global optimization ability. The simulation shows that the diagnostic method has good accuracy,speed and success rate,and is of high use significance.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.01.020Wind power gearboxFault diagnosisEEMD decompositionWavelet threshold denoisingCS-BP |
| spellingShingle | Wang Hongjun Zhao Yuanlu Zhao Hui Yue Youjun Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network Jixie chuandong Wind power gearbox Fault diagnosis EEMD decomposition Wavelet threshold denoising CS-BP |
| title | Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network |
| title_full | Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network |
| title_fullStr | Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network |
| title_full_unstemmed | Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network |
| title_short | Fault Diagnosis of Wind Turbine Gearbox based on EEMD Wavelet Threshold Denoising and CS-BP Neural Network |
| title_sort | fault diagnosis of wind turbine gearbox based on eemd wavelet threshold denoising and cs bp neural network |
| topic | Wind power gearbox Fault diagnosis EEMD decomposition Wavelet threshold denoising CS-BP |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.01.020 |
| work_keys_str_mv | AT wanghongjun faultdiagnosisofwindturbinegearboxbasedoneemdwaveletthresholddenoisingandcsbpneuralnetwork AT zhaoyuanlu faultdiagnosisofwindturbinegearboxbasedoneemdwaveletthresholddenoisingandcsbpneuralnetwork AT zhaohui faultdiagnosisofwindturbinegearboxbasedoneemdwaveletthresholddenoisingandcsbpneuralnetwork AT yueyoujun faultdiagnosisofwindturbinegearboxbasedoneemdwaveletthresholddenoisingandcsbpneuralnetwork |