Method of Monitoring Wearing and Breakage States of Cutting Tools Based on Mahalanobis Distance Features

摘要

The Mahalanobis distance features proposed by P.C.Mahalanobis, an Indian statistician, can be usedrnin an automatic on-line cutting tool condition monitoring process based on digital image processing. In this paper,rna new method of obtaining Mahalanobis distance features from a tool image is proposed. It can automaticallyrndivide the component groups for calculating Mahalanobis distance based on the gray level of wearing or breakagernregions in a tool image. The wearing region can be divided into high gray level component group and therntool-blade into low one. The relation between Mahalanobis distance features of component groups and toolrnconditions is investigated. The results indicate that the Mahalanobis distance features of high gray levelrncomponent group are related with wearing state of tool and low gray level component group correlated withrnbreakage of tool. The results also indicate that Mahalanobis distance features have higher sensitivity of expressingrnwearing or breakage states of tools.