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基于BP网络的飞机燃油系统故障诊断方法研究
引用本文:龙浩,王新民.基于BP网络的飞机燃油系统故障诊断方法研究[J].北京联合大学学报(自然科学版),2007,21(1):52-56.
作者姓名:龙浩  王新民
作者单位:1. 北京联合大学,自动化学院,北京,100101;西北工业大学,自动化学院,西安,710072
2. 西北工业大学,自动化学院,西安,710072
摘    要:对于飞机燃油系统故障诊断问题,提出了一种利用BP神经网络进行飞机燃油系统故障诊断的新方法。通过设计飞机燃油系统层次分类诊断模型,构建了专家系统知识库和推理机,利用CB工具开发了飞机燃油神经网络故障诊断专家系统。仿真结果表明,该系统很好地发挥了专家系统的智能性,能够快速准确地诊断出燃油系统的故障,完全适合于飞机燃油系统的故障诊断。

关 键 词:飞机燃油系统  故障诊断  神经网络  专家系统
文章编号:1005-0310(2007)01-0052-05
收稿时间:2006-06-20
修稿时间:2006年6月20日

Research on the Method of Fault Diagnosis of Aircraft Fuel System Based on BP Network
LONG Hao,WANG Xin-min.Research on the Method of Fault Diagnosis of Aircraft Fuel System Based on BP Network[J].Journal of Beijing Union University,2007,21(1):52-56.
Authors:LONG Hao  WANG Xin-min
Institution:1. Automation College of Beijing Union university, Beijing 100101, China ; 2. College of Automation, Northwestern Polytechnical University , Xi - an 710072, China
Abstract:A new method for fault diagnosis of aircraft fuel system using BP network as a way to prevent the problem of fault diagnosis of aircraft system is presented.By designing multilayer neural network model of aircraft fuel system,knowledge base and infer engine are built,and by means of CB tool,the relevant software environment is set up.Consequently the neural network fault diagnostic expert system of aircraft fuel system is successfully developed.The emulational results prove that the intelligence of expert system works perfectly and the faults of fuel system are diagnosed well and fast;furthermore,effective methods of reconstruction can be brought forward in the expert system.It is entirely practicable in aircraft fuel fault diagnosis system.
Keywords:aircraft fuel system  fault diagnosis  neural network  expert system
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