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Application of Grey Correlation and Reversed Modeling Method on the Soft-Measuring of Ball Mill Level

[+] Author Affiliations
Zhongguang Fu, Guoxian Fu, Tao Jin

North China Electric Power University, Beijing, China

Paper No. IMECE2010-37361, pp. 203-209; 7 pages
doi:10.1115/IMECE2010-37361
From:
  • ASME 2010 International Mechanical Engineering Congress and Exposition
  • Volume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B
  • Vancouver, British Columbia, Canada, November 12–18, 2010
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4429-8
  • Copyright © 2010 by ASME

abstract

By using the real operation data of the thermal power plant, a new modeling method, which is called the reversed modeling method, is presented, so that accurate model of double-ball mill was established by the method. In order to solve the problem which is how to select modeling variables, gray relational analysis such as the slope, relative variability and uniform association method is presented and used to variables selecting. As an example, double ball-mill level was used as the research object, using the above three kinds of gray correlation to select preferable variables. Meanwhile, analysis the effect of applying the gray correlation to reversed modeling in two ways, such as the variable selection results and modeling accuracy. The analysis results show that the reversed model method could achieved the higher precision results when gray correlation method is applied to select the input variables of the model. The slope association method is not only simple in calculation and easy to understand the meaning, but also with reasonable result of variable selection and higher model accuracy.

Copyright © 2010 by ASME
Topics: Ball mills , Modeling

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