The buzz, squeak, and rattle (BSR) noise in the vehicle seat system is one of the most common vehicle interior noises. The presence of the BSR noise in the seat system may affect the riding experience and cause discomfort to the occupants. Therefore, the BSR issues have gradually attracted the attention of researchers. The main problem of BSR noise evaluation is how to quantify the noise signal to realize rapid evaluation. In this paper, the impact of rattle noise is studied in the vehicle seat system. Psychoacoustic metrics, which are commonly used in vehicle BSR noise evaluation, are calculated and compared to build a vehicle seat system evaluation model. To improve the accuracy of the model, the variational mode decomposition (VMD) method is applied to decompose the original noise signal into six Intrinsic Mode Functions (IMFs) and then the energy of each IMF is weighted by the kurtosis to obtain new characteristic parameters. Subsequently, psychoacoustic metrics and new characteristic parameters are regarded as input vectors to build the objective evaluation model based on support vector regression (SVR). In the validation analysis, the model with a combined feature subset shows better performance. It is believed that the research in this paper can be further employed to facilitate the evaluation of vehicle rattle noise in the industry.


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    Titel :

    Study of Rattle Noise in Vehicle Seat System under Different Excitation Signals and Loading Conditions


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Li, Peiran (Autor:in) / Chen, Shuming (Autor:in) / Duan, Tianzhu (Autor:in)

    Kongress:

    Automotive Technical Papers ; 2020



    Erscheinungsdatum :

    2021-02-17




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Study of Rattle Noise in Vehicle Seat System under Different Excitation Signals and Loading Conditions

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    Experiment and Evaluation Study on Rattle Noise in Automotive Seat System

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