Introduction to Fitting Substitute Geometry


We address the need for fitting substitute geometry from measured data and highlight its significance in coordinate, roundness and surface metrology. We describe how fitting criteria is important when a data set is over-sampled; that is, more points are collected than is needed to determine parameters of a best-fit geometry. We briefly survey the literature to demonstrate the varied approaches that have been reported to efficiently and accurately solve the problem of determining best-fit geometry parameters. We present an overview of part III in this chapter.


Precision Engineer Support Vector Regression Reference Circle Tolerancing Principle Nominal Geometry 
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