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     Research Journal of Applied Sciences, Engineering and Technology


Improved Relative-Entropy Method for Eccentricity Filtering in Roundness Measurement Based on Information Optimization

Xintao Xia, Yinping Jin, Yantao Shang and Long Chen
Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China
Research Journal of Applied Sciences, Engineering and Technology  2013  19:4649-4655
http://dx.doi.org/10.19026/rjaset.5.4296  |  © The Author(s) 2013
Received: September 15, 2012  |  Accepted: October 31, 2012  |  Published: 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.

Keywords:

Filtering, roundness measurement, eccentricity, information optimization, relative entropy,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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