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首页> 外文会议>ASME(American Society of Mechanical Engineers) Turbo Expo vol.4 pt.B; 20070514-17; Montreal(CA) >NON-LINEAR ROTOR-RUBBING VIBRATION ANALYSIS THROUGH THE WAVELET TRANSFORM
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NON-LINEAR ROTOR-RUBBING VIBRATION ANALYSIS THROUGH THE WAVELET TRANSFORM

机译：小波变换的非线性转子摩擦振动分析

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摘要

Vibration analysis is the basis for an early detection of faults in rotating machinery. It is the main element for any maintenance program. Due to the basics of the FFT (Fast Fourier Transform), vibration prediction systems based on this analysis tool are unable to identify unsteady and non-linear vibrations. They provide only the spectrum content of a signal, but due to its nature, the time interval and the instant when the vibration occurs are eliminated. Therefore, new modern signal analysis tools have been developed. Among them, wavelets have been extensively applied to non-linear vibration and transient analysis. In the case of a rotor rubbing the housing or the bearing, wavelets allow the identification of the "wave shape" through a predetermined time-frequency function. The challenge of this method is the definition of the function that represents the actual phenomenon. Results show that rubbing is a non-linear phenomenon, this was verified through a ramp-up and ramp-down test procedure. It was found that the most appropriate procedure for its identification is through wavelet analysis. The key factor is the definition of the best-fit wavelet.
机译：振动分析是及早发现旋转机械故障的基础。它是任何维护程序的主要元素。由于FFT（快速傅立叶变换）的基础，基于此分析工具的振动预测系统无法识别不稳定和非线性振动。它们仅提供信号的频谱内容，但由于其性质，消除了发生振动的时间间隔和瞬间。因此，已经开发了新的现代信号分析工具。其中，小波已广泛应用于非线性振动和瞬态分析。在转子摩擦外壳或轴承的情况下，小波可以通过预定的时频函数识别“波形”。这种方法的挑战在于定义代表实际现象的函数。结果表明，摩擦是一种非线性现象，这已通过斜升和斜降测试程序得到了验证。发现最合适的识别方法是小波分析。关键因素是最佳拟合小波的定义。

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