文献类型：会议论文

英文题名：Research and application of a hierarchical fault diagnosis system based on support vector machine

作者：Liu, Ailun[1];Yuan, Xiaoyan[1];Yu, Jinshou[1]

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China

会议论文集：3rd International Conference on Natural Computation (ICNC 2007)

会议日期：AUG 24-27, 2007

会议地点：Haikou, PEOPLES R CHINA

语种：英文

外文关键词：support Vector Machine (SVM); fault diagnosis; pattern recognition

摘要：Support Vector Machine (SVM) is a kind of machine learning method based on the statistical learning theory, it has been applied in the fault diagnosis field. After analyzing SVM pattern classification theory, a hierarchical structure Fault Detection and Identification (FDI) system is presented in this paper, and simulation results show that this method can effectively handle the complex process characteristic and improve FDI model performance.