The method of fault diagnosis based on NMF and SVM

As a new method of multivariate statistic analysis, non-negative matrix factorization (NMF) has been proposed for dealing with non-negative data. The results of NMF are non-negative and can be interpreted and understood easily, so they have specific physical meaning. In the production process, most data are non-negative. Due to this situation, a method of fault diagnosis based on NMF and SVM is presented in this paper. An on-line process monitoring model is built through NMF, and multi-fault classifiers are trained by SVM. The faults which are monitored by on-line monitoring model will be confirmed and identified by the fault classifiers. The simulation results of three water tank system show the effectiveness of this method.