基于自联想神经网络的发动机控制系统传感器故障诊断与重构

研究自联想神经网络及其在发动机控制系统传感器故障诊断及重构中的应用。自联想神经网络关键在于特征提取和噪声滤波。综合自联想网络的最优估计与故障诊断 ,自动区分估计误差和传感器故障。仿真结果表明这种方法不需要模型 ,能诊断传感器硬、软故障 ,当发动机性能蜕化时也能提供很好的解析余度。

Sensor Fault Diagnosis and Reconstruction of Engine Control System Based on Autoassociative Neural Network

The topology and property of Autoassociative Neural Networks(AANN) and the AANN's application to sensor fault diagnosis and reconstruction of engine control system are studied. The key feature of AANN is feature extract and noise filtering. Sensor fault detection is accomplished by integrating the optimal estimation and fault detection logic. Digital simulation shows that the scheme can detect hard and soft failures of sensors at the absence of models for engines which have performance deteriorate in the service life, and can provide good analytical redundancy.