南京航空航天大学机械工程系研制的“DF深孔加工异常状态微机实时监测系统”,日前通过航空工业总公司组织的技术鉴定。 DF深孔加工属内排屑方式,刀具工作条件恶劣,切屑排出通道狭窄,容易发生多种加工异常状况,而操作者又无法直接观察到切削区的情况,故迫切需要对加工过程进行实时监测。课题组经过深入研究,首先提出了信号分析处理的频段能量理论,综合了频域与时域分析的优点,不仅抓住了状态变化的特征信息,而 Nanjing University of Aeronautics and Mechanical Engineering developed the DF deep hole machining abnormal state microcomputer real-time monitoring system, recently passed the Aviation Industry Corporation of technical appraisal. DF deep hole machining is a chip removal method, the working conditions of the tool is poor, the chip discharge channel is narrow, prone to a variety of processing anomalies, and the operator can not directly observe the cutting area situation, so the urgent need for real-time monitoring of the processing process . After intensive research, the research group first proposed the band energy theory of signal analysis and processing, which combines the advantages of frequency and time domain analysis, not only grasps the characteristic information of the state changes,