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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    Titel :

    The Fault Diagnosis Method of Rolling Bearing Based on CEEMDAN


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Qin, Yong (Herausgeber:in) / Jia, Limin (Herausgeber:in) / Liang, Jianying (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Liu, Libo (Autor:in) / Tong, Qingbin (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Erscheinungsdatum :

    23.02.2022


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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