基于免疫危险理论的机载电子设备故障检测算法研究

Research of Avionics Fault Diagnosis Algorithm Based on Immune Danger Theory

随着现代电子技术的发展,机载电子设备集成度不断提高,对设备故障的检测也越来越复杂;为解决在以往机载电子设备故障检测中存在的故障误报、漏报等情况,提出一种基于免疫危险理论的故障检测新算法,以增强对潜在故障和累积故障的检测能力;该算法中,系统仅就危险信号进行响应,通过对危险程度的分析对比,判断其是否为故障信号,克服了基于"自我-非我"模式建立起来的人工免疫系统模型所带来的局限;通过对机载音频管理组件中Captain(CAPT)站位的AUDIO滤波器测试;实验结果表明,该方法具有较高的检测有效性和故障覆盖率。

With the development of modern electronic technology, the avionics integration increase, and the detection of equipment failure is also more and more complex. In order to resolve the problem of false and underreporting fault during the avionics fault diagnosis test, enhance the detection capability of cumulative and potential faultS, a new avionics fault diagnosis algorithm based on immune danger theory was presented. The algorithm only responds to the danger signals, determines whether it＇s the fault signal by analyzing the danger extent, overcome the limitations of artificial immune model based on the theory of ＇self--not my＇. Through the test on the airborne audio management unit in the Captain （CAPT） station AUDIO filter. The experimental results show that the method has high detection effectiveness and fault coverage.