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Friction-Induced Noise and Vibrations: Diagnosis and Prognosis

机译:摩擦引起的噪声和振动:诊断和预后

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摘要

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.
机译:摩擦引起的噪声和振动问题,例如吱吱声和嘎嘎声,皮带噪声和制动噪声,一直是汽车工业面临的最具挑战性的技术问题之一。例如,在北美,每年在汽车制动系统的保修工作中,在噪音和振动问题上的花费高达1亿美元[1,2]。摩擦引起的噪声和振动的预测和控制已被认为是一个难以捉摸的问题。本文以刹车噪声为例,回顾了摩擦引起的噪声和振动问题。强调了问题的时变,强非线性和随机性质。提出了诊断和预后的新观点来解决这个问题。可以通过使用非线性信号处理,相空间重构,非线性随机系统识别和统计模式识别来开发诊断和预后的框架,这可以有效地帮助识别系统,验证数值模型,预测麻烦事件的发生和估计不确定性。

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