基于人工免疫网络模型的航空发动机传感器故障诊断

提出了一种用于传感器故障诊断的免疫网络,对其结构和特点进行了分析,给出了相应的诊断算法。对传感器典型故障进行了故障诊断仿真,分析了免疫网络能检测出的最小故障偏差水平以及在不同噪声水平下的故障诊断效果。仿真结果表明,所研究的方法能有效检测到故障传感器,并具有良好的灵敏性及抗噪声干扰能力。

Sensor fault diagnosis for aircraft engine based on artificial immune networks

Based on artificial immune network the sensor failures are detected in aircraft engine.An immune network for sensor fault diagnosis is presented.The structure and the features of the immune network,for sensor fault detection,are presented,and the algorithms of sensor failure detection are given.Sensor failure diagnosis for some typical sensor failures is simulated.The limits of sensor bias which can be detected and the effect of fault detecting under various noise levels are examined.Simulation results show that this method can effectively detect the sensor failures.Moreover this method is sensitive to fault and robust for noise interference.