Using principal component analysis(PCA) as feature extraction method,the SVM-based MSPC method was demonstrated by application to a benchmark simulator Tennessee Eastman process. The results showed the advantages.

• 并且故障识别是基于SVM对故障特征分类的优良特性；避免了传统判别法中经验准则的引入.；上述方法在标准仿真平台Tennessee Eastman过程上结合主元分析(PCA)进行了应用；结果显示了其优越性