基于信号统计分析的变速旋转机械故障诊断系统

Extracting fault features using signal statistics method for variable speed rotating machinery

机械振动信号的统计特征对于研究机械振动具有重要意义。旋转机械故障的非线性影响其振动信号的统计特征。本文设计了以单片机为核心的统计分析系统用于对故障前与故障后的振动信号的概率密度函数、幅值均值等统计特征的测定 ,并据此进行故障诊断 ,本系统克服了基于谱分析的诊断系统的时间空间复杂度高、谱线分辨率受限、采样速率高、对变速机械振动信号的不适应和造价高等缺点 ,适用于诸如数控机床主轴。

In this paper,a signal statistics analysis system for variable speed rotating machinery is put forward.A series of data are given to show its characters.The examples indicate that it is applicable to many fields.