Abstract Gearbox, an important component of urban rail vehicles working in the most severe conditions, plays a crucial role in the urban rail vehicle fault diagnosis. It is necessary to detect the fault of gearbox at an early stage to prevent human casualties and reduce maintenance costs. Most of the data-driven fault diagnosis methods are based on an experimental platform, which has many disadvantages such as costly maintenance, limited application, and limited degree of fault simulation. In this paper, a new method based on SIMPACK is proposed and confirmed efficient by testing, which can overcome the disadvantages of the experimental platform. Meanwhile, MATLAB was applied to time–frequency domain analysis and wavelet packet analysis. These analysis results demonstrated the feasibility and reliability of this method.


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    Title :

    Research on Gearbox Fault Diagnosis of Urban Rail Vehicle Based on SIMPACK


    Contributors:
    Wei, Xiukun (author) / Yan, Dong (author) / Chen, Jun (author)


    Edition :

    1st ed. 2016


    Publication date :

    2016-01-01


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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