基于人工免疫网络模型的航空发动机传感器故障诊断  

Sensor fault diagnosis for aircraft engine based on artificial immune networks

作　　者：侯胜利[1] 李应红[2] 李名魁 尉询楷[2] 

机构地区：[1]徐州空军学院,江苏徐州221006 [2]空军工程大学工程学院,陕西西安710038 [3]空军驻四三零厂军代表室,陕西西安710015

出　　处：《推进技术》2007年第1期86-91,共6页Journal of Propulsion Technology

摘　　要：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。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.

关 键 词：航空发动机 传感器 故障诊断 人工免疫系统^+ 免疫网络模型^+ 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]