Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning
At present, high frequency vibration data of wind turbine gearbox is collected through condition monitoring system and fault diagnosis for gearbox is made by manual analysis. But this method requires vibration analysis engineers with sufficient experience knowledge. And because of the large number o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2021-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.018 |
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| _version_ | 1849224829049241600 |
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| author | CHEN Yanan HU Kaikai CHEN Gang SHU Hui LI Ziyuan |
| author_facet | CHEN Yanan HU Kaikai CHEN Gang SHU Hui LI Ziyuan |
| author_sort | CHEN Yanan |
| collection | DOAJ |
| description | At present, high frequency vibration data of wind turbine gearbox is collected through condition monitoring system and fault diagnosis for gearbox is made by manual analysis. But this method requires vibration analysis engineers with sufficient experience knowledge. And because of the large number of units, manual analysis will be time-consuming and laborious. In this paper, frequency conversion and alignment of the original data collected are carried out to eliminate the influence of changing working conditions. Data samples are amplified by time-long segmentation, and time domain and frequency domain features of a specific frequency doubling section are extracted as the input of machine learning. Through model training, a gearbox fault prediction model is constructed. The accuracy of the model is more than 90%, which effectively realizes the gearbox fault prediction. |
| format | Article |
| id | doaj-art-ca8f1d4d0f0144729aa7659e88f1eb60 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-ca8f1d4d0f0144729aa7659e88f1eb602025-08-25T06:53:05ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272021-01-013810811282319139Fault Early Warning of Wind Turbine Gearbox Based on Machine LearningCHEN YananHU KaikaiCHEN GangSHU HuiLI ZiyuanAt present, high frequency vibration data of wind turbine gearbox is collected through condition monitoring system and fault diagnosis for gearbox is made by manual analysis. But this method requires vibration analysis engineers with sufficient experience knowledge. And because of the large number of units, manual analysis will be time-consuming and laborious. In this paper, frequency conversion and alignment of the original data collected are carried out to eliminate the influence of changing working conditions. Data samples are amplified by time-long segmentation, and time domain and frequency domain features of a specific frequency doubling section are extracted as the input of machine learning. Through model training, a gearbox fault prediction model is constructed. The accuracy of the model is more than 90%, which effectively realizes the gearbox fault prediction.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.018wind turbinegearboxfault diagnosismachine learningfault predictionautomatic diagnosis |
| spellingShingle | CHEN Yanan HU Kaikai CHEN Gang SHU Hui LI Ziyuan Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning Kongzhi Yu Xinxi Jishu wind turbine gearbox fault diagnosis machine learning fault prediction automatic diagnosis |
| title | Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning |
| title_full | Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning |
| title_fullStr | Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning |
| title_full_unstemmed | Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning |
| title_short | Fault Early Warning of Wind Turbine Gearbox Based on Machine Learning |
| title_sort | fault early warning of wind turbine gearbox based on machine learning |
| topic | wind turbine gearbox fault diagnosis machine learning fault prediction automatic diagnosis |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.05.018 |
| work_keys_str_mv | AT chenyanan faultearlywarningofwindturbinegearboxbasedonmachinelearning AT hukaikai faultearlywarningofwindturbinegearboxbasedonmachinelearning AT chengang faultearlywarningofwindturbinegearboxbasedonmachinelearning AT shuhui faultearlywarningofwindturbinegearboxbasedonmachinelearning AT liziyuan faultearlywarningofwindturbinegearboxbasedonmachinelearning |