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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...
Process burning coal powder in boiler is in very complex suspension combustion and very unstable, monitoring system image includes a lot of noise signals from difference hands. In this chapter, compose of furnace flame monitoring system is introduced, the new method called as fast median filter for elimination image noise and special boundary detection algorithm based on neural network technique for...
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