The Real-Time Monitoring Tool States Based on Cross-Correlation Detection

Monitoring of tool condition is one of the most important techniques to be developed in the automatic cutting processes as it can help to prevent damages of machine tools and work pieces. In this paper, cross-correlation detection is used as a tool, to characterize the real time power signal during cutting. Firstly, we use the Mallat algorithms to get the standard wavelet transform result from the power signal. During the detection period, we get the real time wavelet transform result on certain level through the real time wavelet algorithms. The real time wavelet result was examined by the correlation to its normal result. According to the magnitude of the correlation factors, we can make sure whether the tools work normally. The experiment results show that the method is capable of detecting the cutting condition effectively.