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    Abstract
2013 (Vol. 5, Issue: 19)
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 

Key words:  Filtering, roundness measurement, eccentricity, information optimization, relative entropy, ,
Vol. 5 , (19): 4649-4655
Submitted Accepted Published
September 15, 2012 October 31, 2012 May 10, 2013
Abstract:

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.
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  Cite this Reference:
Xintao Xia, Yinping Jin, Yantao Shang and Long Chen, 2013. Improved Relative-Entropy Method for Eccentricity Filtering in Roundness Measurement Based on Information Optimization.  Research Journal of Applied Sciences, Engineering and Technology, 5(19): 4649-4655.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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