Abstract
The bearing structure is complex, the early fault signals are weak, mixed with a large number of noise signals, and have nonlinear characteristics, which makes it extremely difficult to extract effective fault vibration characteristics. Based on the analysis of the structure and vibration mechanism of the rolling bearing, the numerical simulation model of the rolling bearing is constructed according to the non-linear and complex characteristics of the fault signal, and the simulation signal is decomposed by EMD, and it is found that the EMD has the end effect and the modal aliasing phenomenon; Improve the algorithm CEEMDAN for numerical simulation experiments. The correlation coefficient is used as the evaluation index to verify the feasibility of CEEMDAN’s improved method.
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Acknowledgments
This work was supported by the Natural Science Foundation of Bei**g municipality, China (Grant No. 3212032).
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Liu, L., Tong, Q. (2022). The Fault Diagnosis Method of Rolling Bearing Based on CEEMDAN. In: Qin, Y., Jia, L., Liang, J., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. EITRT 2021. Lecture Notes in Electrical Engineering, vol 868. Springer, Singapore. https://doi.org/10.1007/978-981-16-9913-9_77
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DOI: https://doi.org/10.1007/978-981-16-9913-9_77
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