关键词: 批量钻削, 工步质量, 曲率尺度测量技术算法, 特征提取, 主成分分析

Abstract: To realize the analysis of batch step quality cutting based on processes monitor signal's features,a signal feature extraction method based on improved Angle Measure Technique(AMT)algorithm was proposed.In this method,the computer complement operation principle was adopted to improve base points selection of AMT.The groups spindle power signals of batch drilling were taken as research object,these signals were preprocessed by methods of z-score normalization and segmentation,and scale features of the monitor signals were extracted from local to global by the improved AMT.The dimensionality of these scale features was reduced to obtain a distribution of the batch drilling step quality by the method of Principal Component Analysis(PCA).The results showed that the improved AMT could be used to overcome the negative influence of features extraction from the great signal amplitude magnitude differences and the great signal data scale|the conclusion of the step quality classification could meet with the physical test result,and the result could provide theoretical guidance for artificial sampling observation of high precision cutting step quality.

Key words: batch drilling, step quality, angle measure technique algorithm, feature extraction, principal component analysis