文献类型：会议论文

英文题名：A Novel Approach to Electronic Circuit Fault Diagnosis based on Neural Network and Collinearity

作者：Tian, WenJie[1];Geng, Yu[1]

通讯作者：Tian, WJ[1]

机构：[1]BEIJING Union Univ, Automat Inst, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), BEIJING Union Univ, Automat Inst, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International Conference on Industrial and Information Systems

会议日期：APR 24-25, 2009

会议地点：Haikou, PEOPLES R CHINA

语种：英文

外文关键词：neural network; electronic circuit; fault diagnosis; classifier; collinearity

摘要：To overcome the deficiencies of single neural network such as low diagnosis precision, long training time and bad generalized ability, an integrated neural network classifier and collinearity method are proposed for electronic circuit fault diagnosis in the paper. The investigation shows that the proposed method has higher classification precision and reliability, and is an ideal pattern classifier. Both simulation and experiment indicate that the proposed method is quite effective and ubiquitous.