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首页> 外文会议>2002 ASME International Mechanical Engineering Congress and Exposition , Nov 17-22, 2002, New Orleans, Louisiana >APPLICATION OF THE EMPIRICAL MODE DECOMPOSITION METHOD TO THE IDENTIFICATION OF DISC BRAKE SQUEAL
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APPLICATION OF THE EMPIRICAL MODE DECOMPOSITION METHOD TO THE IDENTIFICATION OF DISC BRAKE SQUEAL

机译：经验模态分解方法在碟刹裂纹识别中的应用

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摘要

This paper investigates the identification of mechanisms of disc brake squeal by the application of a recently developed Empirical Mode Decomposition method (EMD). A known strength of the EMD is its adaptive nature in analyzing non-stationary data, with success in its original application to ocean mechanics. The EMD decomposes an original signal into a number of intrinsic mode functions (IMFs), with each IMF often containing distinct physical significance. Several sets of disc brake squeal data were obtained and processed by EMD. A typical set data is presented in this paper for discussion. Employing a sifting process in the EMD, four prominent squeal-related IMFs are identified in this set of data. The Hilbert transform is then used to analyze the frequency and amplitude contents of the four IMFs, and it is shown that the first IMF is dominant. The spectrogram method is applied to analyze the time-evolution of the frequency components of the IMFs in the squeal process. This analysis procedure confirms an important squeal mechanism, i.e., the squeal condition is governed by the coupling of in-plane and out-of-plane vibration modes of the rotor and the coalescence of their natural frequencies. The inverse approach outlined in this paper is shown to be useful for providing new insights and confirming established hypotheses of disc brake squeal.
机译：本文研究了使用最近开发的经验模式分解方法（EMD）来识别盘式制动器尖叫的机理。 EMD的一项已知优势是其在分析非平稳数据方面的适应性，并成功地将其原始应用到海洋力学中。 EMD将原始信号分解为许多固有模式函数（IMF），而每个IMF通常包含不同的物理意义。通过EMD获得并处理了几组盘式制动器的尖叫声数据。本文提供了典型的集合数据进行讨论。通过在EMD中进行筛选，可以在这组数据中识别出四个与尖叫相关的重要IMF。然后使用希尔伯特变换分析四个IMF的频率和幅度内容，结果表明第一个IMF是主导的。频谱图方法用于分析尖叫过程中IMF频率分量的时间演变。该分析程序证实了重要的尖叫机制，即，尖叫条件是由转子的面内和面外振动模式的耦合以及其固有频率的结合来控制的。本文中概述的逆向方法对于提供新的见解和确认盘式制动器尖叫声的既定假设很有用。

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