摘要
针对电源组合故障预测的需求,提出了一种基于人工鱼群算法(Artificial Fish Swarm Algorithm,AFSA)优化灰色神经网络的故障预测方法;文中首先对AFSA算法和灰色神经网络进行了介绍;然后在此基础上提出了基于AFSA优化灰色神经网络的故障预测模型,并给出了AFSA优化灰色神经网络参数的算法步骤;最后对制导雷达波束控制系统中的某电源组合进行了故障预测,预测结果表明该预测方法误差较小,达到了预期效果。
Aiming at the need of power supply fault prediction, a method based on grey neural network optimized with AFSA is put forward for fault prediction. Firstly, the AFSA algorithm and grey neural network are produced in the paper; then the fault prediction model based on grey neural network optimized with AFSA is put forward, and the algorithm steps that optimizing the parameters of grey neural network using AFSA are given; Finally, taking a power supply of guidance radar beam control system as an example to simulate, the result shows that the error of this method is low, aehieving the expeeted effect.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第10期2648-2650,2653,共4页
Computer Measurement &Control
