Wind Turbine Gearbox Fault Diagnosis Based on Wavelet Theory and Hilbert Demodulation Spectrum

Abstract:

Through the mechanism of the gearbox’s vibration signal and establish the corresponding mathematical model, then establish a fault diagnosis method based on the wavelet theory and Hilbert demodulation spectrum. First, the wavelet threshold de-noising can be used to reducing noise of the gearbox’s vibration signal. Then, use the wavelet packet decomposition to decomposing the de-noising signal into different frequency band. After that, use the Hilbert transform to demodulate the frequency band that focused power. Finally, extract the fault characteristic value for the fault diagnosis. Through a fault simulation vibration signal test the method, the results show that the method can effectively extract the fault information of the wind turbine gearbox.

• Periodical: Applied Mechanics and Materials (Volume 703)
• Pages: 390-393
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.703.390
• Online since: December 2014
• Authors: Hui Wang, Gui Ge Gao, Xian Wen Zeng
• Keywords: Fault Diagnosis, Gearbox, Hilbert Transformation, Wavelet Packet Decomposition, Wavelet Threshold De-Noising

References

[1] Z. Hameed, Y.S. Hong, Y.M. Cho, et al. in: Renewable & Sustainable Energy reviews, 2009, 13(1): 1-39.

[2] Wang Bin. in: Research on Fault Diagnosis System Facing Wind Turbine Gearbox of North China Electric Power University, (2012).

[3] Liu Shangkun, Tang Guijj, Pang Bin. in: Mechanical Engineer, 2014, 04: 103-105(in Chinese).

[4] Wu Yahui, Chen Donghai, Leng Junfa. in: Journal of Mechanical Transmission, 2009, 02: 61-62+69+103(in chinese).

[5] Chen Hanxin, Zhang Yan, Liu Cen. in: Journal of Wuhan Institute of Technology, 2012, 12: 44-49(in Chinese).