Abstract
Multi-component extraction is an available method for fault vibration signal analysis of rotary machinery, so a new method for rubbing fault diagnosis based on variational mode decomposition (VMD) is proposed. VMD is a newly developed technique for adaptive signal decomposition, which can non-recursively decompose a multi-component signal into a number of quasi-orthogonal intrinsic mode functions. VMD is then first applied to detect multiple rubbing-caused signatures for rotor-stator fault diagnosis via numerical simulated response. A comparison has also been conducted to investigate the effectiveness of monitoring the rubbing-caused signatures by using VMD, empirical wavelet transform (EWT), EEMD and EMD. The analysis results of the rubbing signals show that the multiple features of these signals can be efficiently extracted with the VMD.
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Acknowledgments
The first author would like to thank the financial support of the Alexander von Humboldt Foundation to carry out this research. The financial sponsorship from the project of National Natural Science Foundation of China (51105085) is also acknowledged.
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Wang, Y., Markert, R. (2015). Detecting Rub-Impact Fault of Rotor System Based on Variational Mode Decomposition. In: Pennacchi, P. (eds) Proceedings of the 9th IFToMM International Conference on Rotor Dynamics. Mechanisms and Machine Science, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-06590-8_162
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DOI: https://doi.org/10.1007/978-3-319-06590-8_162
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