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研究了在大块非晶合金切削力信号检测时利用独立分量分析法对检测信号进行去噪处理技术。在试验中,采用独立分量分析法对切削测量系统测量的大块非晶合金切削力信号进行迭代分离,从而提取出主切削力信号。并针对大块非晶合金在不同切削深度下的变形特征,运用扫瞄式电子显微镜观察了大块非晶合金的切削带特征。主切削力信号频谱的快速傅里叶变换分析表明,随着切削深度的增加,切削力信号高频部分的振幅越来越大,而大块非晶合金切削力信号高频部分是由切削带形成过程的特征引起的,并随着切削深度的增加而增加,且主切削力Fz的频率为115 Hz。研究结果表明:采用独立分量分析法进行噪声分离后更能精确识别切削力信号中的主要信息,减少噪声造成的误判。
The technique of denoising the detection signal by means of independent component analysis is studied in the detection of the cutting force of bulk amorphous alloy. In the experiment, the independent component analysis method was used to iteratively separate the cutting force of bulk amorphous alloy measured by the cutting measurement system to extract the main cutting force signal. According to the deformation characteristics of bulk amorphous alloy under different cutting depths, the cutting characteristics of bulk amorphous alloy were observed by scanning electron microscope. The fast Fourier transform analysis of the main cutting force signal spectrum shows that with the increase of the cutting depth, the amplitude of the high frequency part of the cutting force signal becomes larger and larger, while the high frequency part of the cutting force signal of the bulk amorphous alloy is formed by the cutting belt The formation process of the characteristics caused, and with the depth of cut increases, and the main cutting force Fz frequency of 115 Hz. The results show that using the independent component analysis method to separate the noise can accurately identify the main information in the cutting force signal and reduce the misjudgment caused by the noise.