The fault diagnosis based on immune neural network

摘要：

Information model for complex equipment fault in space exist serious overlap problem, the author proposed a fault diagnosis based on immune neural network, this method gives a combination of immune algorithm and neural networks edge. Simulation results show that the method can improve diagnosis ability to complex fault diagnosis model.

关键词： immune neural network anomaly detection fault diagnosis immune algorithm

作者: Qiang Chen Zhengjie Li

作者单位: College of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology Jiangxi Ganzhou, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 454-457

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）