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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。
Aiming at the high complexity and time consuming of general immune algorithm, as well as the high reliability and real-time requirements of aircraft electromechanical system, an improved immune algorithm suitable for aircraft electromechanical system fault diagnosis is proposed. This algorithm uses the ability of antibody to proliferate to remove the general immune algorithm. Reduce the complexity of the algorithm and retain part of the learning ability of the algorithm to ensure the performance of the algorithm. The sensor data of the electromechanical system is vectorized to adapt to the algorithm structure and improve the reliability of the algorithm. Experimental results show that the accuracy of the improved fault diagnosis algorithm is further improved.