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In order to resolve the conflict between coal dust sensor measurement precision and real time demands, an optimal arithmetic for dust pattern hierarchical cluster and pattern recognition was presented according to the dust sample diffraction angular distribution. The coal dust distribution of different mines had marked difference because there was the diversity of geological structure and degree of...
Currently the monitoring of dust concentration in coal mines is of considerable importance in terms of safety and productivity. This paper describes a novel on-line coal dust detection method. Its main characteristics are on-line processing, slip weighted average sampling followed by linear fitting, and automatic correcting of K values. Experimental results from an actual coal-mine are presented,...
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