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| Analysis of parameter optimization of improving economy of coal mining machine operation |
| Yan Guojia |
| Du’erping Mine, Xishan Coal and Power Group, Taiyuan 030022, China |
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Abstract As an important equipment in modern comprehensive mechanized coal mining, whose work efficiency effects its motion parameters greatly. BP neural network prediction program was set up based on shearer load model, maximum setting parameter was got in unit time, combination of optimal traction speed and drum speed was got under different cutting impedance conditions, providing technical reference for underground mining machine operation.
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