摘要
在导弹发射时,电路板发生故障将对导弹的性能产生严重的影响。本文结合模糊理论处理不确定知识的优势和神经网络并行处理、容错性强、有自学习能力等优点,应用模糊神经网络组建被测系统的数学模型,并将信息融合技术引入导弹故障诊断的过程中,通过实例证明该方法使得检测和诊断导弹故障更加可靠。
The fault in missile launch mostly was caused by PCB fault. The capability of missile will descend serious when the PCB fault happening. This paper introduces fuzzy neural network and information fusion in fault diagnosis for missile, this technique can effectively and reliably be used in the fault diagnosis of the missile testing equipment by the results of real example.
出处
《电子技术（上海）》
2009年第3期17-19,共3页
Electronic Technology
关键词
神经网络
信息融合
导弹测试
故障诊断
neural network
information fusion
missile testing
fault diagnosis
