节点文献
自由曲面数控加工中刀具破损的小波分析
Analysis of tool breakage in CNC manufacturing using wavelet transform
【摘要】 介绍了小波变换的特点 ,并将其与傅立叶变换及快速傅立叶变换进行了对比 ,结合刀具破损信号 ,分析了快速小波变换—— Mallat算法。对自由曲面数控加工中主轴电机电流信号的提取技术进行了分析 ,指出了霍尔电流传感器是行之有效的方法。鉴于刀具破损电机电流信号的瞬时性 ,采用小波分析方法给出了提取刀具破损信息特征的成功应用实例。研究表明 ,多分辨 (多尺度 )分析的方法 ,对于刀具破损这种突变信号不但具有精确的时 -频定位作用 ,还具有易于监测的优点 ,说明这种方法能够有效地应用于刀具破损监控的信号处理。
【Abstract】 WT5BZ]The paper introduces the features of the wavelet transform in contrast to the FT and FFT. Combining with tool breakage signal, the fast wavelet transform-Mallat algorithm is analyzed. It analyzes the technique of extracting the spindle motor current of the Machining Center, correspondingly, points out that Hall current sensor is a very efficient way. As the signal of tool breakage is transient, wavelet transform is used to analyze the signal of tool breakage in CNC milling and a successful example of the method is adduced to get the characteristics of the signal of tool breakage. Experimental results show that the method of MRA can not only locate the position in time frequency domain, but also easily monitor the manufacturing system. The method can be applied effectively to signal processing of monitoring tool breakage.[WT5HZ]
- 【文献出处】 光学精密工程 ,OPTICS AND PRECISION ENGINEERING , 编辑部邮箱 ,2000年04期
- 【分类号】TH165
- 【被引频次】7
- 【下载频次】99