Harmonic wavelet packets method and its application to signal analysis of rotating machinery

Guiji Tang, Jinsheng Ye, Rongpei Zhang, Aijun Hu
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引用次数: 3

Abstract

The application of wavelet analysis in fault diagnosis is growing rapidly. This paper examined the advantages of harmonic wavelets and realized the capability of analyzing harmonic wavelet on arbitrary detail of frequency section. The simulating signal can be extracted effectively in frequency domain by harmonic wavelet packet transform and can easily be reconstructed in time domain. This paper has obtained good results by analyzing the rubbing vibration signal of turbine-generator units, thereby providing a new method for fault diagnosis of rotor rubbing.
谐波小波包方法及其在旋转机械信号分析中的应用
小波分析在故障诊断中的应用正在迅速发展。本文考察了谐波小波的优点,实现了对频率段任意细节进行谐波小波分析的能力。利用谐波小波包变换在频域有效地提取仿真信号,在时域也易于重构。本文通过对汽轮发电机组碰摩振动信号的分析,取得了较好的效果,从而为转子碰摩故障诊断提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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