摘要
针对发射车建立了发射车电气系统故障预测与健康管理系统,在数据处理层面上,将专家系统和故障树分析法结合,提出了基于规则的故障树诊断模型,对系统已经发生的故障进行诊断。提出了基于BP神经网络的故障预测方法,对系统进行健康状态评估,并通过实例验证其适用性。
This paper establishes a prognostics and health management system of launch vehicle electrical system.On the level of data processing,in order to diagnose the failure happened,it proposes the fault tree diagnosis model based on rules by combining the expert system and the method of fault tree analysis.The method of fault prediction based on BP neural network is proposed to assess the health status of the system,and the applicability is verifies by the examples.
出处
《工业控制计算机》
2016年第10期43-44,46,共3页
Industrial Control Computer
关键词
发射车
故障诊断
故障树
故障预测
BP神经网络
launch vehicle
fault analysis
fault tree
fault prediction
BP neural network
