基于贝叶斯判别的激光除漆声学监测方法研究

为了解决激光除漆声学监测方法难以满足实际生产需要的问题,采用贝叶斯判别方法进行了理论分析和实验验证,将除漆过程分为正在清洗、清洗完成且基底无损伤、基底损伤3种类别,结合光声效应分析除漆声信号在清洗过程的变化,提取特征参量建立判别模型,实现了对激光除漆的定量判别.结果表明,训练样本准确率达到99％,测试样本准确率达到98...

Research on acoustic monitoring method of laser paint removal based on Bayesian discriminantion

In order to solve the problem that acoustic monitoring method of laser cleaning is difficult to be practically applied,the Bayesian discriminant method was used to conduct theoretical analysis and experimental verification.The paint removal process was divided into three categories:cleaning,cleaning completed and no damage to the substrate,and damage to the substrate.Combining the photoacoustic effect,the change of the paint removal sound signal during the cleaning process was analyzed,the characteristic parameters were extraced to establish a discriminant model.The accuracy of training samples reaches 99%,and the accuracy of test samples reaches 98.7%.The results show that the method has high accuracy and practicability.It can provide a reference for the research of laser cleaning acoustic monitoring.