基于补偿神经网络的航空电子故障智能诊断系统及应用

Intelligent Fault Diagnosis System of Aircraft Electrommunication Based on Compensated Neural Network and Its Applications

针对航空电子系统中故障诊断的问题,提出一种将神经网络中的BP算法与模糊逻辑系统相结合、自动产生并自动修正模糊规则的自适应的模糊逻辑推理机。通过函数逼近仿真分析和航空电子系统故障诊断的实际应用,证明此方法简单有效,故障诊断的精度高,取得了较好的效果,具有一定的应用前景。

An adaptive fuzzy logic inference machine combined fuzzy logic with BP neural network and applied in the aviation electrommunication fault diagnosis system is introduced. The whole system is optimized using neural network and fuzzy logic inference. Satisfactory simulation result of function approach and applications in fault diagnosis have been proved.