针对航空发动机叶片等复杂型面物体轮廓检测问题,应用多线结构光及多图像传感器,设计了可以实现被测对象整体轮廓及局部细节同时测量的多分辨率测量系统。提出一种基于二元经验模式分解的不同精度测量数据的拼接方法,利用二元经验模式分解方法将空间点集数据分解成一系列旋转信号分量,然后借助复小波变换对各旋转信号分量进行平滑处理,最后利用平滑后的旋转信号分量重构形成数据拼接曲线。实验结果表明,所提出的数据拼接方法可以从不同精度的复合信号中提取表征空间数据点集均值或趋势的光滑曲线,实现线结构光多分辨测量系统数据的高精度拼接,使测量系统在100mm×100mm测量范围内精度达到0.02mm,达到了叶片工业现场的测量要求。
Aiming at the measurement problem of complex surface objects,such as aero-engine blade, a muhiresolution measurement system is designed,which is composed can be used to measure the whole profile and partial of multiple line structured light subsystems and image sensors, and details of an object at the same time. A registration method for different precision data based on bivariate empirical mode decomposition is also presented. The method uses bivariate em- pirical mode decomposition to decompose the curve data of space point set to a series of rotation signal components, and adopts complex wavelet transform to smooth those rotation signal components, and finally reconstructs the data registration curves from the smoothed rotation signal components. The experiment result shows that the proposed method can extract smooth mean or trend curves representing spatial data point set from the composite signals with different precision, and achieve high precision data registration of multiresolution measurement system with line structured light. The measurement accuracy of the measurement system reaches to 0. 02 mm in the measurement range of 100 mm × 100 mm, which reaches the measurement requirements of the blade in industrial manufacturing sites.