基于主成分分析的煤岩界面识别方法

Identification Method of Coal and Rock Interface Based on PCA

提出了基于主成分分析的煤岩界面识别方法,详细介绍了主成分分析的原理及识别煤岩界面的过程。该方法采用多个传感器同时监测采煤机割煤时的各项参数,并对数据进行实时的主成分分析;利用主元信息建立HotellingT2和SPE统计量,再根据统计量捕捉采煤机割到岩石时的异常,从而识别煤岩界面。实际应用表明,该方法能够较快并准确地识别煤岩界面。

An identification method of coal and rock interface based on principal component analysis was proposed,and principle of principal component analysis and identification process was described in details.The method uses multiple sensors to monitor parameters simultaneously of shearer when the shearer is cutting coal,and does real-time principal component analysis of the parameters.The coal and mine interface is identified by capturing exceptions in cutting course according to statistics of HotellingT2 and SPE which were established with main meta information.The practical application showed that the method can identify coal and rock interface rapidly and accurately.