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。
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.
出处
《微计算机信息》
2011年第2期219-220,207,共3页
Control & Automation
关键词
故障诊断
信息融合
遗传算法
神经网络
Fault diagnosis
Information fusion
Genetic algorithm
Neural network
