Sensors & Transducers Journal (ISSN: 2306-8515, e-ISSN 1726-5479) |
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Intelligent Information Process, Automation Technologies and Applications
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 WANGCollege 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 |
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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