Abstract Chatter results in poor surface finish, shortened tool life and reduced productivity. Although chatter stability has been widely studied in metal cutting it still presents a challenge as cutting conditions such as cutting speed, feed rate and depth of cut have to be considered. In this paper, the identification of chatter vibration at low speed has been studied. The usage of Kistler 9129AA dynamometer for recording the cutting forces, and LMS Test.Lab and Scadas were used to measure vibration amplitudes during the cutting process. A statistical analysis was carried out using I-kazTM method to identify the correlation between the chatter stability and I-kaz coefficients. The analysis of results revealed that the experimental investigation confirmed the close relationship between chatter stability and I-kaz coefficients in evaluating the chatter detection.