Unbalanced fault feature extraction for wind power gearbox based on improved VMD

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (5) : 170-176.

ZHOU Fucheng1, TANG Guiji2, HE Yuling2

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Abstract

Variational mode decomposition (VMD) is a new modal decomposition method different from recursive one, and has a good frequency partition characteristics.However, it is seriously affected by number of components in signal processing, so it is difficult to set up its parameters rationally with subjective experience.Here, to solve this problem, the singular value decomposition (SVD) with clear signal-to-noise resolution ability was used to automatically search component number of VMD according to the optimal effective rank order of singular value, and propose an improved VMD method for unbalanced fault feature extraction of a wind power gearbox.Simulated signals and shaft unbalance test ones were used to verify the proposed method.The proposed method was applied in field fault diagnosis of a wind power gearbox under stable working condition to successfully extract weak fault feature frequency information, and realize effective judgement for wind power gearbox’s unbalanced fault with certain reliability.

Key words

improved variational modal decomposition / wind turbine / unbalanced fault / fault feature extraction / field data 

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ZHOU Fucheng1, TANG Guiji2, HE Yuling2. Unbalanced fault feature extraction for wind power gearbox based on improved VMD[J]. Journal of Vibration and Shock, 2020, 39(5): 170-176

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