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Research on a fault monitoring system in free-form surface CNC machining based on wavelet analysis

机译:基于小波分析的自由曲面数控加工故障监测系统研究

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In carrying out experiments on tool breakage and undercut of a workpiece of free-form surface using wavelet analysis, both of the fault features can be extracted in a special frequency segment of wavelet decomposition. According to the feature of transient fault, the authors proposes for the first time an automatic determination technology of the threshold by the use of the adaptive filter characteristics of wavelet transformation. Based on profound research on steady fault features, this paper makes an effective token of steady fault feature by using the wavelet energy method, and proposes the new idea to identify the cut-in and cut-out cases, thereby successfully giving a unique description quantitatively of the characterization of the variation of fault and cutting conditions in the monitoring system.
机译:在利用小波分析对自由曲面工件的刀具破损和底切进行实验时,可以在小波分解的特定频率段中提取两个故障特征。根据瞬态故障的特征,作者首次提出利用小波变换的自适应滤波特性自动确定阈值的技术。在对稳态断层特征进行深入研究的基础上,运用小波能量方法对稳态断层特征进行有效标记,提出了确定切入和切出案例的新思路,从而成功地定量给出了独特的描述。监视系统中故障和切削条件变化的特征分析。

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