Multivariate statistical analysis of mineral processing plant data

Because of the availability of powerful industrial computers which collect huge amounts of real-time data in mineral processing plants, there is a need for efficient methods to extract relevant information from them. Multivariate statistical techniques, such as principal components analysis (PCA) and projection to latent structures (PLS), are well suited to analyze these large sets of noisy and ill-conditioned data. The power of PCA and PLS is illustrated on historical data from a grinding and flotation plant. Three hundred and fifty observations of forty-four process variables are used to show the capacity of these techniques for preliminary data analysis, classification of operating regimes, process monitoring, and process empirical modelling.
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Publication: CIM Bulletin
Author(s): Thomas J. Ferree
Issue: 975
Volume: 86
Year: 1993
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Summary: Designs, installation procedures and performance characteristics of martensitic cast steel concaves are reviewed. Longer wear life, fewer pieces to install and eliminating the need to scarf joints are the principal benefits of using martensitic steel to replace austenitic 12% Mn (Hadfield's) steel, the traditional concave material for large gyratory crushers. Installation procedures that reduce the risk of breakage are described. Operating practices that affect concave performance are also...
Publication: CIM Bulletin
Author(s): James L. Parks, David M. Kjos
Issue: 975
Volume: 86
Year: 1993
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Summary: The Gays River Mine is located within a complex hydrological regime and underground mining environment. Early in the mine history, the operation was affected by an inability to control mine water inflows. More recently, the reopened mine operation had been unable to maintain consistent drainage of groundwater to the mine workings and sustain low groundwater levels.
In 1992, a series of investigations were completed, which in part were funded under the Canada-Nova Scotia Mineral Development...
Publication: CIM Bulletin
Author(s): T. Aston, T. Lamb
Issue: 975
Volume: 86
Year: 1993
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