Fault Detection of Wind Turbine Bearing Based on BO-SDAE Multi-source Signal

Authors

Dinghui Wu, Engineering Research Center of internet of Things Technology Appliations Ministry of Education, Jiangnan University, Wuxi 214122, China;
Zhichao Zhu, Engineering Research Center of internet of Things Technology Appliations Ministry of Education, Jiangnan University, Wuxi 214122, China;
Xinhong Han, Engineering Research Center of internet of Things Technology Appliations Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: Due to the discrepancy within signals from sensors of wind turbines caused by environmental interference, the fault detection results of wind turbine bearing will be affected and the multi-source signal fault diagnosis method is proposed to improve the reliability of fault detection. The time-domain and frequency-domain features of bearing vibration signals, noise signals and temperature signals are used for feature extraction,and then the features are transmitted to the stacked denoising autoencoders, which are optimized the hidden layer node structure by the Bayesian optimization algorithm to achieve multi-source signal feature fusion. Softmax function is used for classification. Experiments show that the accuracy of this method is higher than that of the single signal fault diagnosis method, and still maintains a high accuracy rate with mixed speed as experimental data.

Recommended Citation

Wu, Dinghui; Zhu, Zhichao; and Han, Xinhong (2021) "Fault Detection of Wind Turbine Bearing Based on BO-SDAE Multi-source Signal," Journal of System Simulation: Vol. 33: Iss. 5, Article 15.
DOI: 10.16182/j.issn1004731x.joss.20-0045
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss5/15

First Page

1148

Revised Date

2020-04-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0045

Last Page

1156

CLC

TP391.9

Recommended Citation

Wu Dinghui, Zhu Zhichao, Han Xinhong. Fault Detection of Wind Turbine Bearing Based on BO-SDAE Multi-source Signal[J]. Journal of System Simulation, 2021, 33(5): 1148-1156.

DOI

10.16182/j.issn1004731x.joss.20-0045