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基于遗传算法和神经网络的故障诊断研究
Research ofinformation fusion for fault diagnosis based on genetic neural network
【摘要】 首先分析了信息融合技术与故障诊断相结合的必要性,然后给出了人工神经网络和遗传算法的具体过程,提出了基于遗传神经网络信息融合手段的故障诊断模型。实验结果表明,该方法有效地提高了故障诊断的效率和准确度。
【Abstract】 Firstly the paper analyses the necessity of combination ofinformatino fusion and fault diagnosis, then gives the specific algorithms of artificial neural network.and genetic algorithm and provides a fault diagnosis model based on artificial neural network.and genetic algorithm. Experiments show than the mothed can effectively improve the fault-diagnosing efficiency and accuracy.
【关键词】 故障诊断;
信息融合;
遗传算法;
神经网络;
【Key words】 Fault diagnosis; Information fusion; Genetic algorithm; Neural network;
【Key words】 Fault diagnosis; Information fusion; Genetic algorithm; Neural network;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2011年02期
- 【分类号】TP277
- 【被引频次】10
- 【下载频次】235