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.
出处
《机床与液压》
北大核心
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)
关键词
故障诊断
小波分析
数控机床
主轴
Fault diagnosis
Wavelet analysis
Numerical control machine tool
Spindle
