【摘要】 针对旋转机械故障特征提取的问题,以干式真空泵为研究对象,将自回归(AR)模型应用于其滚动轴承故障检测,针对其时域信号建立自回归模型,确定出模型最佳阶次,并计算出其AR功率谱,进而判断轴承的工作状态。实验结果表明:采用该方法能有效地提取轴承故障的特征频率,对于干式真空泵的故障检测是一种有效的方法。更多还原

【Abstract】 Aiming at the problem of fault feature extraction of rotating machinery,dry vacuum pump was regarded as the research object.AR model was applied to fault detection of rolling bearings.The AR model for time-domain signal was established,and the optimum order was determined.The AR power spectrum was calculated.The condition of the rolling bearing was identified.The experimental results show that the method can be used to extract fault feature frequency effectively.It is a valid method for fault detection of dry vacuum pump.更多还原