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Search-Guided Sampling to Reduce Uncertainty of Minimum Deviation Zone Estimation

机译:搜索引导采样以减少最小偏差区估计的不确定性

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摘要

Integrating computational tasks in coordinate metrology and its effect on the inspection's uncertainty is studied. It is shown that implementation of an integrated inspection system is crucial to reduce the uncertainty in minimum deviation zone (MDZ) estimation. An integrated inspection system based on the iterative search procedure and online MDZ estimation is presented. The search procedure uses the Parzen Windows technique to estimate the probability density function of the geometric deviations between the actual and substitute surfaces. The computed probability density function is used to recognize the critical points in the MDZ estimation and to identify portions of the surface that require further iterative measurements until the desired level of convergence is achieved. Reduction of the uncertainty in the MDZ estimation using the developed search method compared to the MDZ estimations using the traditional sampling methods is demonstrated by presenting experiments including both actual and virtual inspection data. The proposed search method can be used for assessing any geometric deviations when no prior assumptions about the fundamental form and distribution of the underlying manufacturing errors are required. The search method can be used to inspect and evaluate both primitive geometric features and complicated sculptured surfaces. Implementation of this method reduces inspection cost as well as the cost of rejecting good parts or accepting bad parts.
机译:研究了将计算任务集成到坐标计量中及其对检查不确定性的影响。结果表明,集成检查系统的实施对于减少最小偏差区(MDZ)估计的不确定性至关重要。提出了一种基于迭代搜索过程和在线MDZ估计的集成检查系统。搜索过程使用Parzen Windows技术估算实际表面和替代表面之间的几何偏差的概率密度函数。计算出的概率密度函数用于识别MDZ估计中的关键点,并识别需要进一步迭代测量直至达到所需收敛水平的表面部分。通过展示包括实际和虚拟检查数据的实验,可以证明与使用传统采样方法的MDZ估计相比,使用开发的搜索方法可以降低MDZ估计的不确定性。当不需要关于基本制造误差的基本形式和分布的先前假设时,所提出的搜索方法可以用于评估任何几何偏差。搜索方法可用于检查和评估原始几何特征和复杂的雕刻表面。该方法的实施降低了检查成本以及拒绝合格零件或接受不良零件的成本。

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