中文摘要：

考虑到耐火材料损伤声发射信号模式识别困难,提出一种结合经验模态分解（EMD）、多重分形谱参数和支持向量机的耐火材料损伤形式分类方法。首先对耐火材料损伤声发射信号进行EDM分解得到若干本征模态函数（IMF）分量,并取前4个分量作为研究对象,然后将整个信号的多重分形谱宽及各IMF分量的多重分形谱宽组成的特征向量输入支持向量机进行学习训练,最后实现耐火材料损伤模式识别。研究结果表明,采用由原信号及各IMF分量的多重分形谱宽值组成的特征向量能够有效进行损伤信号的特征提取。该方法对耐火材料界面相损伤的分类准确率为99%,对其基质相损伤的分类准确率为89%。

英文摘要：

Considering the difficulty of pattern recognition of the acoustic emission signals of refractory damage,this paper proposes a classification method for refractory damage pattern based on empirical mode decomposition（EMD）,multi-fractal spectrum parameters and support vector machine.First,the acoustic emission signals are decomposed into several intrinsic mode function（IMF）components by EDM,and the first four components are taken as the research objects.Second,a feature vector formed by multi-fractal spectrum width values of the entire signal and IMF components is used in learning and training of support vector machine（SVM）.Then the refractory damage pattern classification is completed by SVM.The results show that the constructed feature vector is efficient in feature extraction of damage signals.The classification accuracy of this method for interface damage and matrix damage of refractory can reach up to 99% and 89%,respectively.