Application of the discrete wavelet transform to the monitoring of tool failure in end milling using the spindle motor current

Abstract

The paper prevents an application of the discrete wavelet transform to the monitoring of tool failure in end milling operations using the spindle motor current. The discrete wavelet transform performs a multilevel signal decomposition to extract the tool failure feature from the spindle motor current. Experimental results have shown that tool failure in end milling operations can be clearly detected even under varying cutting conditions.