The purpose of the present study is to monitor tool condition in the grinding operation through the electromechanical impedance (EMI) by using wavelet analysis. To achieve this, a dressing experiment was conducted on an industrial aluminum oxide grinding wheel by fixing a stationary single-point diamond tool. The proposed approach was verified experimentally at various dressing tool conditions. The signals obtained from an EMI data acquisition system, composed of a piezoelectric diaphragm transducer attached to the tool holder, were processed by using the discrete wavelet transform. The approximation and detail coefficients obtained from wavelet decomposition were used to estimate the tool condition by using the correlation coefficient deviation metric (CCDM). The results show good performance in tool condition monitoring by the proposed technique, which effectively contributes to modern machine tool automation