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Abstract
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Article Information:
Improved Relative-Entropy Method for Eccentricity Filtering in Roundness Measurement Based on Information Optimization
Xintao Xia, Yinping Jin, Yantao Shang and Long Chen
Corresponding Author: Xintao Xia
Submitted: September 15, 2012
Accepted: October 31, 2012
Published: May 10, 2013 |
Abstract:
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In this study, we propose the improved relative-entropy of the ideal circle function to the measured information of the radius error of the workpiece surface to make an eccentricity filtering in roundness measurement. Along with a correct assessment for the parameters of the eccentricity filtering, the extracted information from the measured information is obtained by the minimization of the improved relative-entropy. The case studies show that the information optimization is characterized by decreasing the improved relative-entropy, the extracted information almost coincides with the real information, the improved relative-entropy has a strong immunity to the stochastic disturbance of the rough work piece-surface and the increase of the minimum of the improved relative-entropy counteracts the effect of the stochastic disturbance on the assessment for parameters in eccentricity filtering.
Key words: Filtering, roundness measurement, eccentricity, information optimization, relative entropy, ,
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Cite this Reference:
Xintao Xia, Yinping Jin, Yantao Shang and Long Chen, . Improved Relative-Entropy Method for Eccentricity Filtering in Roundness Measurement Based on Information Optimization. Research Journal of Applied Sciences, Engineering and Technology, (19): 4649-4655.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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