Fault early warning of pitch system of wind turbine based on GA-BP neural network model

Sihan Chen; Yongguang Ma; Liangyu Ma

doi:10.1051/e3sconf/202019403005

All issues

Volume 194 (2020)

E3S Web Conf., 194 (2020) 03005

References

Open Access

Issue		E3S Web Conf. Volume 194, 2020 2020 5^th International Conference on Advances in Energy and Environment Research (ICAEER 2020)


Article Number		03005
Number of page(s)		5
Section		Power Engineering and Power Generation Technology
DOI		https://doi.org/10.1051/e3sconf/202019403005
Published online		15 October 2020

Tao L, Gang L, Ruiqi C, Wenhuan L, Fault gear warning of fan gearbox based on bearing temperature[J]. Renewable Energy, 2018, 36(12): 1877-1882. [Google Scholar]
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Zhongshan H, Ling T, Dong X, PCA and SPC-Dynamic Neural Network for Prediction of Oil Temperature Trend of Gearboxes in Wind Turbi-nes[J]. Journal of Tsinghua University (Science and Technology), 2018,58(6):539-546. [Google Scholar]
Xiaotang X, Tingyang L, A fuzzy control model based on BP neural network arithmetic for opti-mal control of smart city facilities[J]. Personal and Ubiquitous Computing, 2019, 23(3-4). [Google Scholar]
Qian X, Wenhua L, Zhigang L, Prediction of wind speed and wind power based on improvedwavelet BP neural network [J]. Power System Protection and Control, 2014, 42(15):80-86. [Google Scholar]
Qing Z, Wenya X, Tao T, Optimization design of cassava straw cutting based on neural network genetic algorithm[J]. Journal of Chongqing University of Science and Technology (Natural Science Edition), 2016,18(2):114-116. [Google Scholar]
Hui L, Chao Y, Xuewei L, Haiting J, Xing Q, Yaojun C, Mining of State Characteristic Param-eters and Abnormal Recognition of Electric Fan Pitch System[J]. Chinese Journal of Electrical Engineering, 2014,34(12):1922-1930. [Google Scholar]
Jiayu D, Chang X, Lichao G, Jie Y, Shuai X, Yuntao L, Research on fault prediction of wind turbine based on bearing temperature model [J]. Renewable Energy, 2018,36(02):276-282. [Google Scholar]
Fan Z, Deshun L, Juchuan D, Chao W, Xiangbing S, A Method for Identifying Wind Turbine Operating State Based on SCADA Parameter Relationship [J]. Journal of Mechanical Engineering, 2019,55(4):1-9. [Google Scholar]

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[1] Tao L, Gang L, Ruiqi C, Wenhuan L, Fault gear warning of fan gearbox based on bearing temperature[J]. Renewable Energy, 2018, 36(12): 1877-1882. [Google Scholar]

[2] Xuan L, Jianping S, Research on Early WarningMethod for Temperature Rise of Wind Turbine[J]. Electric Power Science and Engineering, 2016,32(6):38-43. [Google Scholar]

[3] Shi Y, Zhongyuan Y, Kaifeng M, Chuang L, Fault Identification of Pitch Control System for Wind Turbines Based on Nonlinear State Estimation [J]. Transactions of China Electrical Engineering, 2014,34(S1):160-165. [Google Scholar]

[4] Zhongshan H, Ling T, Dong X, PCA and SPC-Dynamic Neural Network for Prediction of Oil Temperature Trend of Gearboxes in Wind Turbi-nes[J]. Journal of Tsinghua University (Science and Technology), 2018,58(6):539-546. [Google Scholar]

[5] Xiaotang X, Tingyang L, A fuzzy control model based on BP neural network arithmetic for opti-mal control of smart city facilities[J]. Personal and Ubiquitous Computing, 2019, 23(3-4). [Google Scholar]

[6] Qian X, Wenhua L, Zhigang L, Prediction of wind speed and wind power based on improvedwavelet BP neural network [J]. Power System Protection and Control, 2014, 42(15):80-86. [Google Scholar]

[7] Qing Z, Wenya X, Tao T, Optimization design of cassava straw cutting based on neural network genetic algorithm[J]. Journal of Chongqing University of Science and Technology (Natural Science Edition), 2016,18(2):114-116. [Google Scholar]

[8] Hui L, Chao Y, Xuewei L, Haiting J, Xing Q, Yaojun C, Mining of State Characteristic Param-eters and Abnormal Recognition of Electric Fan Pitch System[J]. Chinese Journal of Electrical Engineering, 2014,34(12):1922-1930. [Google Scholar]

[9] Jiayu D, Chang X, Lichao G, Jie Y, Shuai X, Yuntao L, Research on fault prediction of wind turbine based on bearing temperature model [J]. Renewable Energy, 2018,36(02):276-282. [Google Scholar]

[10] Fan Z, Deshun L, Juchuan D, Chao W, Xiangbing S, A Method for Identifying Wind Turbine Operating State Based on SCADA Parameter Relationship [J]. Journal of Mechanical Engineering, 2019,55(4):1-9. [Google Scholar]