Using Model Discrimination to Select a Mathematical Function for Generating Separation Curves
作者:
M. S. KLIMA,
P. T. LUCKIE,
期刊:
Coal Preparation
(Taylor Available online 1986)
卷期:
Volume 3,
issue 1
页码: 33-47
ISSN:0734-9343
年代: 1986
DOI:10.1080/07349348608905272
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A statistical technique, known as model discrimination, is presented for selecting a mathematical function to fit separation data in order to estimate the characteristic parameters — the relative density of separation and the probable error. Some of the more commonly used functions are compared by their goodness of fit and their parameters evaluated statistically using a sensitivity analysis approach in order to determine the function with the best fit and the maximum parameter sensitivity. Application of this technique is demonstrated using sets of separation data from actual heavy media cyclone operations. For separator data exhibiting apparent bypassing, i.e., a fraction of feed apparently exiting with the clean coal and/or a fraction of feed apparently exiting with the refuse, a modelling technique is given whereby an existing function can be expanded to incorporate the bypass parameters.
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