International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Volume-7,Issue-12  ( Dec, 2019 )
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Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 84
Paper Published : 1397
No. of Authors : 3784
  Journal Paper

Paper Title
Adaptive Calibration of Coordinate Measuring Machine using Artifact

Abstract
The calibration of the coordinate measuring machines is performed based on the mathematical model of those machine. The feature of the artifact is measured by CMM, the kinematic parameters are determined by comparing the estimated coordinates and the calibrated coordinates. However, it is assumed that the CMM is rigid and stable in any orientations and locations. Actually the CMM is not rigid and not stable. It is proposed that the model equation, the kinematic parameters and the estimators are replaced with the neural network. The calibration method using the neural network is called the adaptive calibration. The neural network studied the relationship between the inputs and the coordinates successfully. In this article, the example of the articulated arm coordinate measuring machine is shown. Keywords - Calibration, Kinematic Calibration, Adaptive calibration, Neural Network, Artifact, Coordinate Measuring Machine, Kinematic Parameters


Author - Ryoshu Furutani

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| Published on 2018-12-11
   
   
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