基于免疫算法的飞机机电系统故障诊断

针对一般免疫算法复杂度高、耗时长,以及飞机机电系统可靠性、实时性要求高的特点,提出了一种适合飞机机电系统故障诊断的改进免疫算法。该算法通过采用去除一般免疫算法的抗体增殖能力。降低算法复杂度,保留算法的部分学习能力以保证算法性能,将机电系统传感器数据进行向量化处理以适应算法结构,并提高算法可靠性。实验结果表明,改进后的算法故障诊断准确度得到进一步提高。

Fault Diagnosis of Airborne Electro-mechanical Systems Based on Immune Algorithm

In view of fact that the immune algorithm are very complex and time-consuming and that the airborne electro-mechanical system requires high reliability and real-time performance,this paper puts forward an improved immune algorithm for the airborne electro-mechanical system.The antibody proliferation ability of the algorithm is removed to reduce the complexity while reserving part of the algorithm's learning ability in order to ensure the performance of the algorithm and the algorithm reliability enhanced.The experimental results show that the fault diagnosis accuracy of the improved algorithm is improved.