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    基於WT和STFT車輛啟動抖動特性時頻分析

    Time-Frequency Study on Vehicle Starting Vibration Characteristics Based on WT and STFT

    • 摘要: 針對自動啟停車輛在啟停過程中的抖動問題,為快速有效識別啟停抖動的振動特性,提出一種應用小波變換(WT)與短時傅裏葉變換(STFT)結合對振動信號進行準確識別的方法。該方法應用小波變換對啟停過程中非平穩信號最大振動時刻進行有效處理,應用短時傅裏葉變換分析振動信號峰值振幅和頻率。仿真分析和試驗對比表明,該方法具有有效性和實際應用價值。

       

      Abstract: According to the vibration problems of the auto start/stop process in vehicle, based on the combination of wavelet transform (WT) and short time Fourier transform (STFT), an accurate identification of vibration signals method for rapidly and effectively identify the vibration characteristics of the auto start/stop process. In this method, wavelet transform is applied to efficient handing the maximum vibration time of non-stationary signal during the auto start/stop process, the short time Fourier transform is used to analyze the peak amplitude and frequency of the vibration signal. The feasibility and effectiveness of the proposed method is verified by simulation analysis and experiment.

       

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