摘要
通过磨削试验 ,应用KL信息距离法对磨削火花信号进行处理以识别磨削过程中砂轮磨损状态的变化。研究结果表明 :时域和频域中的信息距离方法均能有效识别磨削过程中不同的砂轮磨损状态 ,但频域信息距离方法计算工作量较小 ,响应速度较快 ,对硬件要求较低 ,更有利于实现在线监控。
According to the grinding experiment, the Kullback-Leibler information distance method is used to recognize grinding wheel wear states in the grinding process by means of the signal processing to grinding sparks. The research results show that the Kullback Leibler information distance method both in the time domain and the frequency domain can distinguish effectively the different grinding wheel wear states in grinding process, but the Kullback Leibler information distance method in the frequency domain is more easy to realize the on-line supervision because of its less calculation, higher response rate and lower hardware requirement.
出处
《工具技术》
北大核心
2001年第11期16-18,共3页
Tool Engineering
基金
江苏省教委自然科学基金资助项目
关键词
状态识别
KL信息距离
砂轮磨损
磨削火花
state recognition, Kullback Leibler information distance, grinding wheel wear, grinding spark
