It is difficult to implement modeling for overall construction due to the complex structure and distinct environmental influences for the high-speed elevator so researchers rarely achieve end-to-end control for vibration suppression. Meanwhile, the dynamic parameters of the hoist component (the hoist rope) contain more environmental disturbance characteristics than the traction machine. In this paper, a sensitivity analysis of data channels of hoist rope that can help to clarify the effective control loop based on experimental results is implemented. The authors combined a neural network-based (NN-based) regression model and attention module for predicting hoisting rope vibration to achieve over 95% accuracy, and determine the channel data that contributes most to vibration prediction.
For composite thick seams have been incidents burst power disasters, and seriously affect the safety of the mine production.Based on the engineering background in coal mine, through the same mining conditions, stope mining process simulation which happens in single hard coal, soft coal and single composite thick Coal Seam of Island face were studied through comparative analysis by FLAC3D numerical simulation technology. Tendency and trend of the pressure distribution results obtain through the comparative analysis . The research results has been applied in the actual coal mining.
First, the index system is established for coal mine safety evaluation according to the influencing factors of coal mine safety. Then, weights of mine safety estimation factor is determined by using Analytic Hierarchy Process(AHP).Last,mathematical model of fuzzy comprehensive evaluation is set up for coal mine based on fuzzy theory and used to safety evaluation of a state-owned coalmine . The researched index system is feasible and effective; weights of mine safety estimation factor are responsed through this index system which can be used widely in the coal mine safety evaluation and administrative decision.
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