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

• Main Authors: Junwei LIU, Jianyi KONG, Xingdong WANG
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2013-05-01
• Series: Sensors & Transducers
• Subjects: Steel plate defects; Correlation information; Uncertainty; Rough set; Functional dependency.
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/may_2013/Special_issue/P_SI_349.pdf
• ISSN: 2306-8515; 1726-5479

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.