scholarly journals EST clustering error evaluation and correction

2004 ◽  
Vol 20 (17) ◽  
pp. 2973-2984 ◽  
Author(s):  
J.-P. Z. Wang ◽  
B. G. Lindsay ◽  
J. Leebens-Mack ◽  
L. Cui ◽  
K. Wall ◽  
...  
Keyword(s):  
Error Evaluation ◽  
Est Clustering

The minimum zone fitting and error evaluation for the logarithmic curve based on geometry optimization approximation algorithm

2019 ◽  
Vol 41 (15) ◽  
pp. 4380-4386
Author(s):  
Tu Xianping ◽  
Lei Xianqing ◽  
Ma Wensuo ◽  
Wang Xiaoyi ◽  
Hu Luqing ◽  
...  
Keyword(s):  
Approximation Algorithm ◽  
Evaluation Method ◽  
Geometry Optimization ◽  
Reference Points ◽  
Approximation Technique ◽  
Error Evaluation ◽  
Iterative Approximation ◽  
Logarithmic Curve ◽  
Normal Distance ◽  
Minimum Zone

The minimum zone fitting and error evaluation for the logarithmic curve has important applications. Based on geometry optimization approximation algorithm whilst considering geometric characteristics of logarithmic curves, a new fitting and error evaluation method for the logarithmic curve is presented. To this end, two feature points, to serve as reference, are chosen either from those located on the least squares logarithmic curve or from amongst measurement points. Four auxiliary points surrounding each of the two reference points are then arranged to resemble vertices of a square. Subsequently, based on these auxiliary points, a series of auxiliary logarithmic curves (16 curves) are constructed, and the normal distance and corresponding range of values between each measurement point and all auxiliary logarithmic curves are calculated. Finally, by means of an iterative approximation technique consisting of comparing, evaluating, and changing reference points; determining new auxiliary points; and constructing corresponding auxiliary logarithmic curves, minimum zone fitting and evaluation of logarithmic curve profile errors are implemented. The example results show that the logarithmic curve can be fitted, and its profile error can be evaluated effectively and precisely using the presented method.

scholarly journals An overview of the wcd EST clustering tool

2008 ◽  
Vol 24 (13) ◽  
pp. 1542-1546 ◽  
Author(s):  
Scott Hazelhurst ◽  
Winston Hide ◽  
Zsuzsanna Lipták ◽  
Ramon Nogueira ◽  
Richard Starfield
Keyword(s):  
Est Clustering

Non-Contact Online Detection of Concentricity Error

2015 ◽  
Vol 733 ◽  
pp. 611-614
Author(s):  
Hong Zheng
Keyword(s):  
Measurement System ◽  
Three Dimensional ◽  
Error Evaluation ◽  
Dimensional Model ◽  
Online Detection ◽  
Three Dimensional Model ◽  
Geometric Tolerance ◽  
Structural Principle ◽  
Circularity Error ◽  
Cylindricity Error

This paper researches on the non-contact online detection of concentricity error, which mainly focus on the structural principle of the measurement system and the concentricity error evaluation methods. The paper using the method of projection, converting the three-dimensional model to a two-dimensional model and evaluating coaxially error. And it is validated by the simulation of MATLAB. In theory, the proposed measurement system can measure geometric tolerance, including coaxially error, cylindricity error, circularity error, etc.

scholarly journals A dose error evaluation study for 4D dose calculations

2014 ◽  
Vol 59 (21) ◽  
pp. 6401-6415 ◽  
Author(s):  
Stefan Milz ◽  
Jan J Wilkens ◽  
Wolfgang Ullrich
Keyword(s):  
Evaluation Study ◽  
Dose Error ◽  
Dose Calculations ◽  
Error Evaluation
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