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PSO神经网络在光电探测设备故障诊断中的应用

Jun DENG,Yue-wen ZHOU,Zhao YANG,Peng LIANG,Ming-ming ZHANG

Journal of Astronautic Metrology and Measurement（2015）

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Abstract
针对传统神经网络在光电探测故障诊断中存在故障检测率低、诊断时间长的问题,研究了粒子群优化算法( PSO)优化神经网络连接权值,并将其应用于某型光电探测设备的故障诊断中. 实验结果表明,与BP和GA相比,PSO算法更易实现,具有更快的收敛速度、更高的故障检测率、更低的虚警率和更短的故障诊断时间,从而获得了更好的故障诊断效果.
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