基于矢功率谱-AIS的旋转机械故障识别方法研究

FAULT RECOGNITION METHOD BASED ON THE VECTOR POWER SPECTRUM AND ARTIFICIAL IMMUNE SYSTEM FOR ROTATING MACHINERY

结合矢功率谱分析技术和人工免疫系统,提出一种新的机械故障模式识别方法,它以矢功率谱分析为特征提取工具,以aiNet网络为数据压缩工具,以支持向量机为分类器。该方法成功地应用到旋转机械故障诊断中,实验结果表明,该方法是可行和有效的。

Combined the vector power spectrum and Artificial immune system （AIS）, a new fault recognition method is proposed, this method is that the vector power spectrum is used as eigenvectors, aiNet network as the data compression, and SVM （support vector machine） as a classifier. The proposed method has been successfully applied to the fault diagnosis of rotating machinery. The experiment result shows that the proposed approach is very effective.