웨이브렛 변환을 이용한 밀링 공구의 마모 감지 연구

The detection of tool wear is very important in an automated manufacturing system. This paper presents a tool condition monitoring system based on the wavelet transform analysis of the AC servo motor current in drilling process. The current measurement is relatively simple and its mounting will not affect machining operations. The discrete wavelet transform was used to decompose the current signal of a spindle AC servo motor in the time-frequency domain. The feature vectors were extracted from the decomposed signals and compared for normal and wear conditions. The results show the possibility of an effective application of wavelet transform analysis on the tool condition monitoring.