微弱动不平衡信号的谐波小波包提取

Harmonic wavelet packet extraction of weak dynamic unbalance signals

在刚性转子动平衡修正中,对有效的振动信号进行检测和提取是直接关系到后期计算与动平衡修正效果好坏的最关键的一个环节,谐波小波具有良好的盒形谱特性、存在明确的函数表达式、时域定位准确和算法实现简单等优点,而在谐波小波的基础上实现的谐波小波包算法既拥有谐波小波的优点,并且还能对分析频段进行任意的划分,以便提取和分析更加细致的信息,通过模拟给出了采样信号,并使用谐波小波包算法对采样信号进行滤波处理,有效地滤除了干扰信号,最终成功地提取到了目标振动信号。

In rigid rotor dynamic balance correction,the effective vibration signal detection and extraction are the most criti-cal link which are related to the later calculation and dynamic balance correction effect directly. The harmonic wavelet has ad-vantages of good box-like spectrum characteristic,explicit function expression,accurate positioning in time domain and simple algorithm realization. The harmonic wavelet packet algorithm based on harmonic wavelet has advantages of harmonic wavelet and can divide any analyzed frequency band arbitrarily for extraction and analysis of the more detailed information. The simulated sample signal is provided in this paper. The filtering processing for the sample signal is proceeded by harmonic wavelet packet algorithm to filter out the interference signals effectively. The target vibration signal was extracted successfully.