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To study the mechanism and characteristics of tool wear, the frequency band energy analysis method of acoustic emission(AE) signal based on wavelet packet decomposition were used. The experiments were conducted on the FTC20numericalcontrol lathe using carbide tool. The band components of the AE signals during turning machining were analyzed and the friction signal was extracted from the raw AE signal...