| 引用本文: | 黄敏超,陈启智.模糊方向神经网络在火箭发动机故障检测与分离中的应用.[J].国防科技大学学报,1996,18(4):7-10.[点击复制] |
| Huang Minchao,Chen Qizhi.Fuzzy Direction Neural Network Approach to Fault Detection and Isolation of Rocket Engine[J].Journal of National University of Defense Technology,1996,18(4):7-10[点击复制] |
|
| |
|
|
| 本文已被：浏览 6916次 下载 6133次 |
| 模糊方向神经网络在火箭发动机故障检测与分离中的应用 |
| 黄敏超, 陈启智 |
|
(国防科技大学 航天技术系 湖南 长沙 410073)
|
| 摘要: |
| 提出了一种模糊方向神经网络分类器, 并应用于液体推进剂火箭发动机故障检测与分离。模糊方向神经网络采用模糊集表示发动机故障模式, 模糊集是方向超体聚集形成的集合体, 方向超体则由单位方向、夹角和两个半径确定。模糊方向神经网络能在一次循环学习中形成非线性方向边界。故障脸测与分离的仿真研究表明: 模糊方向神经网络的识别性能是比较优越的。 |
| 关键词: 液体推进剂火箭发动机，故障检测与分漓，模糊方向集, 神经网络 |
| DOI： |
| 投稿日期：1996-05-15 |
| 基金项目:国家自然科学基金资助项目 |
|
| Fuzzy Direction Neural Network Approach to Fault Detection and Isolation of Rocket Engine |
| Huang Minchao, Chen Qizhi |
|
(Department of Aerospace Technology, NUDT, Changsha, 410073)
|
| Abstract: |
| A fuzzy direction neural network classifier used for fault detection and isolation (FDI) in a liquid propellant rocket engine is proposed. The fuzzy direction neural network utilizes fuzzy sets as engine fault classes. Each fuzzy set is an aggregate of fuzzy direction bodies. A fuzzy direction body is described by a direction vector，an included angle and two radii. The fuzzy direction neural network can learn nonlinear direction boundaries in a single pass through the training data. The FDI simulation research has shown the strong discernibility of the fuzzy direction neural network. |
| Keywords: liquid propellant rocket engine,fault detection and isolation,neural network,fuzzy direction set |
|
|
