| 基于知识的歼击机起飞爬升阶段的故障诊断与报警 |
| |
| 引用本文： | 孔秋菊,胡寿松.基于知识的歼击机起飞爬升阶段的故障诊断与报警[J].东南大学学报(自然科学版),2004(Z1). |
| |
| 作者姓名： | 孔秋菊 胡寿松 |
| |
| 作者单位： | 南京航空航天大学自动化学院 南京210016
(孔秋菊)，南京航空航天大学自动化学院 南京210016(胡寿松) |
| |
| 基金项目： | 国家自然科学基金重点资助项目 (60 2 3 40 10 )，航空科学基金资助项目 (0 2E5 2 0 2 5 )，国防基础科研资助项目 (K160 3 0 60 3 18) . |
| |
| 摘 要： | 针对歼击机的起飞、爬升阶段 ,数据量大且复杂 ,对故障诊断要求精度高 ,实时性好 ,设计出粗集和神经网络相结合 ,分层诊断的方法 ,先定故障的类型 ,然后定故障的度 .其中在粗集诊断部分 ,提出了适合该研究对象的离散和简约方法 ,从而得到了少量但足够用的决策规则 ,使得实时诊断程序结构简单 ,实时性好 .包含诊断和报警模块的实时程序证明 ,此方法可以达到精度和实时性要求 .
|
| 关 键 词： | 故障诊断 粗糙集 神经网络 起飞 爬升 |
Fault diagnosis and alarm based on knowledge for take-off and climbing of fighter |
| |
| Kong Qiuju,Hu Shousong.Fault diagnosis and alarm based on knowledge for take-off and climbing of fighter[J].Journal of Southeast University(Natural Science Edition),2004(Z1). |
| |
| Authors: | Kong Qiuju Hu Shousong |
| |
| Abstract: | A diagnosis method based on rough set theory and neural network is proposed for take-off and climbing of fighter. In this phase, the data are large and complex and high precision and real-time diagnosis are required, therefore a scheme is formed to diagnose fault style first with rough set theory and then fault degre e with neural network. Appropriate discretization method and reduction method are chos en and a few but enough decision rules are obtained, which can make the real-ti me diagnosis program simple. Real-time program with diagnosis modu le and alarm module proves that this method can satisfy the requirements. |
| |
| Keywords: | fault diagnosis rough set neural network take-off climbing |
| 本文献已被 CNKI 等数据库收录！ |
|
