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煤矿生产过程中常伴有煤与瓦斯突出等矿井动力灾害,威胁矿工的生命安全。文章提出了多嵌入维加权一阶局域法,并通过Lorenz混沌时间序列对该方法进行了验证且与加权一阶局域法进行了比较。通过对矿井灾害预测表明,应用多嵌入维加权一阶局域法预测结果的精度得到了提高。该方法具有较好的适应能力和鲁棒性。
Coal mine production process is often accompanied by coal and gas outburst and other mine dynamic disasters, threatening the life and safety of miners. In this paper, a multi-embedding dimension weighted first-order local method is proposed, and the method is verified by Lorenz chaotic time series and compared with the weighted first-order local method. Prediction of mine disasters shows that the accuracy of applying the multi-embedding dimension weighted first-order local method to forecast the result has been improved. The method has good adaptability and robustness.