基于等时间采样的阶比切片图研究与应用

Research on the Order Sectioning Analysis Based on Even-Time Sampling Rate and Its Application

对于旋转机械系统中的非平稳故障特征,传统频谱分析会出现"频谱模糊"现象.为了弥补传统频谱分析的不足,并建立故障特征与转速的关系,应用波形重构技术,提出了基于等时间采样的阶比切片图分析方法.通过转子实验台设计典型不对中故障,应用阶比切片图分析方法对采集的不对中故障信号进行分析,结果表明,阶比切片图表征了系统不对中故障的2X,3X倍频及其谐波分量随转速的变化趋势.从而证明此分析方法对非平稳故障特征有一定的识别能力.

A phenomenon named ＂frequency smear＂ will happen to the characteristics of nonsteady malfunction in rotary machine system when making a conventional frequency spectrum analysis. To make up for the deficiency of conventional frequency spectrum analysis and establish the relationship between the malfunction characteristics and rotating speed, the waveform restructuring technique is used to develop the order sectioning analysis based on even-time sampling rate. A typical misalignment fault testing is therefore designed to perform on a rotor test stand so as to analyze the relevant signals by way of the order sectioning analysis. The results showed that the order sections can characterize the double/triple frequency of a misalignment fault in rotary machine system and the variation of its harmonic components with rotating speed. The order sectioning analysis is thus proved recognizable to the characteristics of nonsteady malfunctions to a certain extent.