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To achieve improvements in the production capacity and energy efficiency of an industrial tubular ball mill, an Improved adaptive Evidence-Theoretic k-NN rule was proposed, and was applied to monitor an unmeasured parameter, i.e., level of coal powder filling in ball mill.The improved adaptive rule was realized by means of two strategies: (1) a parametric distance metric was applied instead of Euclidean...
In this paper, a robust adaptive version of evidence theoretic k-NN classification rule was proposed. In the robust rule, an adaptive distance metric was proposed to be used instead of the Euclidean distance metric. All the parameters brought in by the proposed adaptive distance metric and some other important structural parameters fixed in the original rule are optimized based on training set by...
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