基于噪声小波包络谱的数控机床主轴故障诊断研究  

Spindle Fault Diagnosis Based on Wavelet and Envelope Analysis

作　　者：邓三鹏[1,2] 徐小力[1] 张建新[3] 张香玲[2] 

机构地区：[1]北京理工大学,北京100081 [2]天津工程师范学院,天津300222 [3]海洋石油工程股份有限公司,天津300452

出　　处：《机床与液压》2009年第12期219-221,共3页Machine Tool & Hydraulics

基　　金：国家自然科学基金资助项目(50375017);"高档数控机床与基础制造装备"科技重大专项(2009ZX04014-101)

摘　　要：使用采集仪采集数控机床主轴噪声信号,利用小波分析将测得的机体噪声信号变换到时频域,对包含有主轴故障的噪声信号的高频成分加以提取并进行包络谱分析,并对包络曲线进行频谱分析,得到了故障频率信息。通过实验验证了该方法可利用机体噪声信号监测主轴的故障状态。The noise signals of spindle were collected and were transformed into time and frequency region. The high frequency components of the noise signals of fault spindle were extracted and analyzed with envelope spectrum, the spectrum analysis was made on the envelope graph, and the frequency information of fault was obtained. The experiment proves that the method can detect the fault of spindle by noise signals of machine tool.

关 键 词：故障诊断 小波分析 数控机床 主轴 

分 类 号：TH133.3[机械工程—机械制造及自动化]