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In this paper, based on the noise signal, BBD ball mill material detection method and mill pulverizing system optimization control are presented. The noise of ball mill is decomposed using wavelet packet. The eigenvectors reflecting coal level of mill can be obtained from wavelet packet parameters. Through neural network training, the statistical model of coal level and ball mill eigenvectors is established...
Through analyzing the factors influencing BBD ball mill load and the measure characteristics, a BBD ball mill load measure method, based on rough set and neural networks information fusion, was proposed. A group of neural networks were constructed for material measure according to the relative reductions, which was feature-level information fusion. Then using the attribute significance determining...
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