A Framework Design of Automatic Fault Diagnosis System

摘要：

　　To resolve a lasting suitable cabin environment for the astronauts,this paper proposes an effective framework design for automatic fault diagnosis system.This framework can implement a real-time online diagnosis and decision support for fault,and carry out an early diagnosis for weak fault.Finally,this paper achieves an online automatic fault diagnosis system by using neural networks self-learning characteristics and expert knowledge.In two-men-two-days simulated manned space flight test,the software of diagnosis system framework worked well,which has been assessed and verified comprehensively.

关键词： Automatic fault diagnosis system Neural networks Expert system Space station Decision-making support

作者: Wei Hu Yi-bing Deng Honcl-qi Feng Qing-e Wu Bin Tang Jian-hua Zou

作者单位: School of Electronic and Information Engineering, Xian Jiaotong University, Xian, Shaanxi, 710049, China Astronaut Research and Training Center, Beijing 100094, China College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou,4 School of Electronic and Information Engineering, Xian Jiaotong University, Xian, Shaanxi,710049,

会议类型: 国际会议

会议名称: 2nd International Conference on Materials Engineering and Automatic Control (第二届材料工程与自动化控制国际会议)(ICMEAC2013)

会议地点: 济南

会议语种:英文

页码: 635-638

在线出版日期: 2013-05-18（万方平台首次上网日期，不代表论文的发表时间）