基于自组织神经网络的信息融合在故障诊断中的应用

提出了一种用于某机舵面系统故障诊断的方法．应用自组织神经网络的非线性拟合能力扩展相关传感器的测量信息，采用D-S证据论算法将相关传感器的输出信息进行融合．信息融合诊断策略根据这些信息确定出故障，同时对故障信号进行识别．建立了某机舵面系统故障诊断的数学模型，并进行了计算机仿真．仿真实验结果表明，该故障诊断结构形式能够对舵面常见故障进行有效的识别和告警，显著地降低了故障诊断的不确定性，提高了故障模式的识别率．

Information Fusion Based on Self-organizing Neural Network in Fault Diagnosis

A method is presented for fault diagnosis of an airplane steering surface system.The nonlinear fitting ability of self-organizing neural network is used to expand the information measured by related sensors,and output information of the related sensors is synthesized with D-S(Dempster-Shafer) proof algorithm.Based on the synthesized information,the information fusion diagnosis strategy can define the fault and identify the fault signals.The mathematical model of the airplane steering surface system fault di...