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

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。故障检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。

Fuzzy Direction Neural Network Approach to Fault Detection and Isolation of Rocket Engine

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. Tile 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.