民航电子系统的光纤数据总线故障实时检测

Fiber data bus fault real-time detection in civil avionics system

针对当前民用航空电子系统光纤数据总线故障检测方法存在的检测准确度较低,检测的及时性较差问题,提出数据挖掘的民用航空电子系统光纤数据总线故障检测方法。首先提取光纤数据总线状态特征,并利用数据挖掘技术实现民用航空电子系统光纤数据总线状态分析,然后通过卡尔曼滤波的方法实现信号基本正序分量的无偏估计,通过构建民用航空电子系统光纤数据总线状态的基本谱残差,构建故障检测的解决函数,完成故障检测。实验结果表明,本文方法检测的精确度较高,检测的及时性较好。

In view of the low detection accuracy and poor timeliness problems in optical fiber data bus fault detection methods in civil avionics system,a fault detection method for optical fiber data bus in civil avionics system is proposed. Firstly,the state characteristics of the optical fiber data bus are extracted,and the data mining technology is used to realize the state analysis of the optical fiber data bus of the civil avionics system. Then the unbiased estimation of the basic positive sequence components of the signal is realized by the Calman filter,and the basic spectral residuals of the state of the optical fiber data bus in the civil avionics system are constructed. The fault detection function is constructed and the fault detection is completed. Experimental results show that the accuracy of the method is high and the timeliness of detection is good.