基于声发射技术的磨削状态识别

Recognition of Grinding Status Based on AE Technology

基于最大熵原理对声发射数字信号进行分析处理,提出了用较小样本数识别磨削状态的方法;研究了不同样本数的均方差,基于磨削实验研究使用概率分布识别磨削状态。通过实验证明了最大熵方法的有效性,给出了用于磨削状态识别合理的样本数。

This paper analyzes and processes the acoustic emission （AE） digital signal based on maximum entropy （ME） principle and proposes a method of recognizing grinding status with less sample number. It also focuses the research on the mean-square deviation of different sample number, uses the estimation of probability distribution to recognize grinding status according to the grinding experiment and presents the reasonable sample number for recognizing grinding status. And the validity of maximum entropy method is proved though the experiment.