摘要
基于双能γ射线透射原理，提出了一种新的特征向量空间分割算法对煤与矸石进行分类判别，大大拓宽了识别粒度范因，并能有效地避免统计涨落误差的影响，使识别准确率达93％以上．
Based on dual-energy γ-rays penetration,a new method,i. e the characteristic vector spacepartition algorithm,to classify the original lump-coals into coals and gangues is proposed. It not onlyresults in a wider identification range of size but also avoids effectively any disturbance from the errordue to statistical fluctuation. As a result,the accuracy of identification reaches at least 93 %.
出处
《水电能源科学》
1999年第4期16-18,共3页
Water Resources and Power
关键词
双能γ射线
特征向量
空间分割
煤矸石
分选系统
dual-energy γ-rays
characteristic vector space partition
coals and gangues
