摩擦引起的噪声和振动:诊断和预后

Gang Chen
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引用次数: 3

摘要

摩擦噪声与振动问题是汽车工业面临的最具挑战性的技术问题之一,如吱吱声、嘎嘎声、皮带噪声和刹车噪声。例如,在北美,在汽车制动系统的保修工作中,每年花费在噪声和振动问题上的费用高达1亿美元[1,2]。摩擦噪声和振动的预测与控制一直被认为是一个难以解决的问题。本文以制动噪声为例,综述了摩擦噪声与振动问题。强调了该问题的时变、强非线性和随机性质。为解决这一问题,本文提出了诊断和预后的新视角。将非线性信号处理、相空间重构、非线性随机系统辨识和统计模式识别等技术应用于系统的诊断与预测,可以有效地识别系统、验证数值模型、预测麻烦事件的发生和估计不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Friction-Induced Noise and Vibrations: Diagnosis and Prognosis
Friction-Induced noise & vibration problem, such as Squeak & Rattle, belt noise and brake noise, has been one of most challenging technical problems faced by automotive industry. For instance, in North America, up to one 100 million dollars every year are spent on noise and vibration issues in warranty work of automotive brake systems [1,2]. The prediction and control of friction-induced noise and vibrations have been considered as an elusive problem. In this article, the friction-induced noise and vibration problem is reviewed by using brake noise as an example. The time-varying, strong nonlinear and stochastic nature of the problem is emphasized. The new perspective of diagnosis and prognosis are proposed to address this problem. The framework of diagnosis and prognosis could be developed by using nonlinear signal processing, phase space reconstruction, nonlinear stochastic system identification, and statistical pattern recognition, which effectively and efficiently helps identify system, validate numerical model, predict troublesome event occurrence and estimate uncertainty.
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