燕山大学学报2016，Vol.40Issue(1)：74-80,7.DOI:10.3969/j.issn.1007-791X.2016.01.012
基于专家系统和神经网络的卫星故障诊断系统设计与实现
Design and implementation of fault diagnosis system for satellite based on expert system and neural network
摘要
Abstract
In order to overcome the shortcomings of the traditional expert system in knowledge acquisition and increase the ability for diagnosing the faults of satellites a fault diagnosis system for satellite combined expert system with artificial neural network is designed.The knowledge base for the diagnosis system is constructed by using the expert system development tool—CLIPS and is enlarged and updated by artificial neural network to solve the�bottle neck problem for knowledge acquisition in expert system then the faults of satellites are diagnosed by this way. The simulation results show that the proposed method can improve the diagnosis ability of satellite diagnosis system and realize fast failure detection to keep the satellite safe.关键词
专家系统/神经网络/卫星/故障诊断Key words
expert system/artificial neural network/satellite/fault diagnosis分类
信息技术与安全科学引用本文复制引用
郑玮,杨学猛,葛宁..基于专家系统和神经网络的卫星故障诊断系统设计与实现[J].燕山大学学报,2016,40(1):74-80,7.基金项目
国家重点基础研究发展计划（973计划）资助项目（2014CB340206）；国家自然科学基金资助项目 （）
