Unbalanced fault feature extraction for wind power gearbox based on improved VMD
ZHOU Fucheng1, TANG Guiji2, HE Yuling2
1.School of Science and Technology, North China Electric Power University, Baoding 071003, China;
2.Department of Mechanical Engineering, North China Electric Power University, Baoding 071003, China
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.
周福成1，唐贵基2，何玉灵2. 基于改进VMD的风电齿轮箱不平衡故障特征提取[J]. 振动与冲击, 2020, 39(5): 170-176.
ZHOU Fucheng1, TANG Guiji2, HE Yuling2. Unbalanced fault feature extraction for wind power gearbox based on improved VMD. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(5): 170-176.
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