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Because of wire rope conveyer belt with high load operating and complex conditions of coal mine, it is prone to cause conveyer belt horizontal rupture. It will bring tremendous hazards for coal mine safe production. Defects of wire rope and joints displacement are monitored by weak magnetic detection system. The algorithm of integration with wavelet transform and improved LMS adaptive filtering algorithm...
Coalmine gas concentration is a very complicated nonlinear dynamical system, which has obvious characteristics of chaos. Accurate prediction of coalmine gas concentration is very important to direct security production. However, data, got from in-wells, usually include noises, because of complex environment and multiple noises in-wells. Because of the capability of dividing frequency and diminishing...
Predicting water-irruption quantity from coal floor is of significance to coal mine safety production. It is complex nonlinear system related to influencing factors, Aimed at improving generalization, the predictive mode based on wavelet decomposition and artificial neural network was proposed, detailed learning algorithm was proposed and it was used in prediction. Both of the subsequent and the examination...
Presently, China coal mine safety situation is grim. One of important reasons is inadequacy of the safety investment. Safety investment prediction can provide the decision basis for the effective control and guidance of safety investment. The paper analyzed the impact factors of the coal mine safety investment, built the prediction model of coal mine safety investment based on wavelet neural network...
Mine work face gas emission is the important basis for mine design, and has important practical significance for ventilation and safety production. Between mine gas emission and work face there are complex nonlinear relationships. The paper constructed a work face gas emission prediction model based on wavelet neural network. It based on statistics of a mine work face gas emission data, applied the...
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