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Intelligent Information Process, Automation Technologies and Applications

 

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Vol. 21, Special Issue, May 2013, pp.100-104

 

 

A Measuring Method of Steel Plate Defect Uncertain Correlation Information Based on Rough Set
and Functional Dependency

 

Junwei LIU, Jianyi KONG, Xingdong WANG

College of mechanical automation, Wuhan University of Science and Technology,

Wuhan 430081 P. R. China

Tel.: +8613657290532, fax: +8602768862830

E-mail: liujunwei@wust.edu.cn, 15697188659@wo.com.cn, xingdongwang@163.com

 

Received: 31 March 2013   /Accepted: 14 May 2013   /Published: 30 May 2013

Digital Sensors and Sensor Sysstems

 

Abstract: There are multitudinous, multispecies, nonlinearity, multiphase and so on complex system time and space scales characteristics in steel plate production process, whose defects are divided into dominant defects and hidden defects. Real-time dynamic steel plate defects information can not be effectively and quickly converted, it is difficult to find the relationship among defects facts, defects reasons and defects controls in production elements. To reduce steel plate defects as the research object, through building-up steel plate defect information database, we can get a uncertain correlation information measurement method between steel plate defect and the production process elements by study associated information concept model of steel plate defects, measurement of uncertainty defects associated information based on Rough Set theory and mapping membership calculation based on Functional Dependency, which provides a useful theoretical support for reducing defects, improving the finished product rate.

 

Keywords: Steel plate defects, Correlation information, Uncertainty, Rough set, Functional dependency.

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