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.