Research on Fault Feature Extraction Method of the Wind Turbine Gearbox Based on SVD and Improved HHT
This paper researches fault feature extraction method based on singular value decomposition and the improved HHT method for non-stationary characteristics of wind turbine gearbox vibration signal. Firstly, through the signal phase space reconstruction, the singular value decomposition as a pre-filter, to preprocessing the signal, effectively weaken the random noise. Then using EEMD to improve the HHT method, decompose the denoising signal into a series of different time scales component of intrinsic mode functions. The fault characteristics of the signal are extracted by the Hilbert transform. Finally, simulating gearbox fault experiment to verify the effectively of the proposed method.
Zhengyi Jiang, Yugui Li, Xiaoping Zhang, Jianmei Wang and Wenquan Sun
C. Z. Chen et al., "Research on Fault Feature Extraction Method of the Wind Turbine Gearbox Based on SVD and Improved HHT", Applied Mechanics and Materials, Vols. 220-223, pp. 785-788, 2012