摘要
故障检测对于保证组合导航系统的高可靠性是十分重要的。文中提出了一种基于状态χ2检测法的神经网络故障检测法,根据状态χ2检验法的实时结果检测故障,然后用一个BP神经网络模型确定故障所在位置,进行故障隔离。通过仿真,验证了这种方法的有效性。
Fault detection is very important in ensuring the high reliability of integrated navigation system. In this paper we present a kind of method that is neural network fault detection based on state chi-square test. This method uses BP neural network model to ascertain the position of fault and to carry through fault isolation through real-time fault detection result of state chi-square. The simulation results prove that this method is very validity.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第3期36-39,46,共5页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
组合导航系统
状态χ2检测
神经网络
故障检测
integrated navigation system
state chi-square test
neural network
fault detection
