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MONITORING FOR GRINDING WHEEL STATE BASED ON MULTI-SENEOR FUSION

机译:基于多传感器融合的砂轮状态监测

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In order to analyze the corresponding relationship between grinding force signals, acoustic emission (AE) signals and grinding wheel states under different grinding parameters, a system composed of dynamometer and AE sensor was developed to monitor the grinding process in this paper. By frequency spectrum and power spectrum analysis of grinding force, wavelet analysis of AE signals, this method can be achieved to monitor the grinding wheel dull effectively under different grinding conditions. The results showed that the grinding force signals appeared corresponding regular changes under different depth of cut, workpiece speed and wheel dull degree, and the mean value or root mean square value of AE signals can be used to determine the wheel dull degree effectively. Furthermore, it can overcome the limitation of the method that only can monitor grinding force signal amplitude and can not monitor grinding wheel dull under grinding conditions by using power spectrum analysis of grinding force.
机译:为了分析不同磨削参数下磨削力信号,声发射信号与砂轮状态之间的对应关系,研制了一种由测力计和声发射传感器组成的系统来监测磨削过程。通过对磨削力的频谱和功率谱分析,对AE信号进行小波分析,可以实现对不同磨削条件下砂轮钝度的有效监测。结果表明,在不同的切削深度,工件速度和砂轮钝度下,磨削力信号出现相应的规律变化,可以利用AE信号的平均值或均方根值确定砂轮钝度。此外,通过对磨削力进行功率谱分析,可以克服仅能监测磨削力信号幅度而不能监测磨削条件下的砂轮钝度的方法的局限性。

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