关键词: 信息融合, 矢功率谱, 支持向量机, 故障诊断

Abstract: Compared with the traditional power spectrum, the vector power spectrum can fuse the power information from different channels, and reflect more comprehensive information. The support vector machine (SVM) is a powerful tool for solving the small-sample fault recognition. Here, combining vector power spectrum and SVM, a new fault diagnosis approach is proposed, this approach is that vector power spectrum is used as eigenvectors, SVM as a classifier. The proposed approach has been successfully applied to the fault diagnosis of rotating machinery. In addition, The proposed approach is compared with the recognition approach based on he vector power spectrum and radial basis function network (RBFN). The experiment result shows that the proposed approach is very effective, especially in the small samples.

Key words: Information fusion, Vector power spectrum, Support vector machine (SVM), Fault diagnosis