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GEAR RATTLE ANALYSIS BASED ON WAVELET SIGNAL DECOMPOSITION

机译:基于小波信号分解的齿轮棘轮分析

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The "gear rattle" phenomenon is a research topic of great interest for the NVH (Noise, Vibration and Harshness) automotive sector, concerning driveline noise and vibrations coming from the manual gear boxes. It is due to the internal combustion engine variable torque producing impacts and rebounds, and consequently noise, between the teeth of the unloaded gear pairs of the gear box because of the unavoidable presence of backlashes. Discrete Wavelet Transform (DWT) is used to decompose the angular relative motion signal and the wavelet decomposition details are adopted to analyze the dynamic behaviour of gears under rattle conditions. The DWT has been chosen because it is a particularly suitable instrument to recognize discontinuities, such as jumps or instantaneous changes in the slope of the signals, due to their localization in the time domain. Wavelet analysis allows to characterize an event by the localization, the kind, and the amplitude of the event. This technique enables, moreover, to define new indices for metrics of gear rattle especially useful in order to conduct comparisons among different operative conditions. Some examples of application of the proposed technique are reported in the paper. The theoretical investigations regard comparative analysis with respect to the amplitude and to the frequency of speed fluctuations and to the gears lubrication regime.
机译:“齿轮嘎嘎声”现象是NVH(噪声,振动和苛刻性)汽车行业的一个非常重要的研究课题,涉及传动齿轮的噪声和来自手动变速箱的振动。这是由于内燃机的可变转矩在齿轮箱的空载齿轮副的齿之间产生冲击和反弹,并因此产生噪音,这是由于不可避免地存在反冲。利用离散小波变换(DWT)分解角相对运动信号,并采用小波分解细节分析齿轮在颤动条件下的动力学行为。选择DWT是因为它特别适合识别不连续性,例如由于其在时域中的定位而引起的跳变或信号斜率的瞬时变化。小波分析允许通过事件的位置,种类和幅度来表征事件。而且,该技术使得能够为齿轮拨浪鼓的度量定义新的指​​标,该指标特别有用,以便在不同的操作条件之间进行比较。本文报道了该技术的一些应用实例。理论研究涉及对速度波动的幅度和频率以及齿轮润滑方式进行比较分析。

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