基于特征的飞机结构件加工状态监测方法  

Feature Based Machining Condition Monitoring Method for Aircraft Structural Part

作　　者：黎明[1] 李迎光[1] 刘长青[1] 刘浩[1] 

机构地区：[1]南京航空航天大学机电学院

出　　处：《航空制造技术》2015年第5期96-100,共5页Aeronautical Manufacturing Technology

基　　金：国家科技重大专项(No.2012ZX04010041)资助

摘　　要：为有效监测飞机结构件加工过程中出现的刀具严重磨损、刀具破损和加工颤振等异常加工状态,提出基于特征的飞机结构件加工状态监测方法。分析了加工特征对监测加工状态监测的影响,运用小波分析方法提取加工特征关于加工状态的信号特征量,应用支持向量机方法对加工状态进行辨识。实例结果表明,该方法能有效的监测飞机结构件异常加工状态,具有较高的工程实用价值。In order to monitor the abnormal machining conditions of tool wear, tool breakage and chatter in the process of aircraft structural parts, the feature based method of CNC machining condition monitoring for aircraft structural parts is proposed. The effect of machining feature on monitor signal is investigated, and monitor signal is analyzed by wavelet analysis to obtain signal characteristics of the machining features. Support vector machine theory is used for machining condition recognition. The result shows that this method can monitor the abnormal machining conditions of aircraft structural parts effectively with high practical value.

关 键 词：特征 飞机结构件 加工状态 信号特征量 支持向量机 

分 类 号：V261[航空宇航科学与技术—航空宇航制造工程]