摘要
实现大型高精度圆柱型工件形位误差在线检测是亟待解决的课题.对此,采用三角法测距原理,使用高精度激光CCD位移传感器进行了数据采集.针对激光CCD灵敏度高,干扰噪声容易混入测量数据中的问题,提出了一种基于小波分析的误差分离方法,即运用谐波分析的思想方法和小波理论中多频率分析算法进行误差分离,误差分离后的数据用最小二乘法处理求出圆柱度.通过对大型高精度油膜轴承的实际检测,证明该方法能实现工件的在线实时监测,且所测结果优于传统测量方法.
How to on-line monitor geometrical error for large high precise cylindrical workpieces was a key research project. Based on the trigonometry theory to get the distance, collecting data with high-accuracy CCD laser displacement sensor, a harmonic analysis method was used to solve the problem that measurement data may be easily interfered. The cylindricity could be calculated by least squares method and wavelet error separation method that the measurement error could be decomposed by Harmonic analysis algorithm based on wavelet theory. Taking a high precise oil film bearing as a research object, the experiments are done and proved the validity of the method.
出处
《中北大学学报（自然科学版）》
EI
CAS
2007年第1期22-26,共5页
Journal of North University of China(Natural Science Edition)
基金
教育部博士基金项目(20040183057)
关键词
圆柱度
小波算法
谐波分析
误差分离
cylindricity
wavelet algorithm
harmonic analysis
error separation
