In the drilling process, the power spectrum of a drilling force is closely related to the drill wear.

在钻削过程中,钻削力功率谱与钻头磨损之间具有较强的相关性,被广泛用于钻头磨损监测,但是关于功率谱特征的提取和识别一直没有很好解决。

In this paper,the cutting force signals in different drill wearconditions are decomposed and reconstructed using wavelet transform; and the changing characteristics of cutting force signals of time domains in different frequency bands are obtained.

采用小波分析对钻头不同磨损状态的切削力信号进行分解与重构处理 ,获得了切削力信号在不同频段的时域变化特征 ,并分析了各个频段重构信号的方差随钻头磨损的变化规律。