Sensor fault detection model based on self-organizing immune network
基于自组织免疫网络的传感器故障检测模型

A self-organizing immune network for sensor fault detection in aircraft engine was presented. The self-organizing map was used in the modeling of sensor immune network. The weights of immune network were determined based on learning vector quantization. The structure and the features of the immune network, for sensor fault detection, were presented, and the algorithms of sensor failure detection were given. Simulation results show that this method can effectively detect the sensor failures. Moreover, this method is sensitive to fault and robust to noise interference. This method is contributive for sensors fault detection in aircraft engine and it can be easily extended to other relative industrial application areas.