Cutting tool wear has relation with the cutting forces. By way of signal processing, the power spectrums of cutting forces in different tool wear stages are analyzed in the present paper. It is proved that several characteristic frequencies exist within a wide frequency range during the cutting process as long as cutting process parameters keep constant. The power value of the characteristic frequency increase with the increase of tool wear. Thus, the tool wear could be predicted by the changes of characteristic frequencies and their power values.