节点文献
基于模糊神经网络的凝汽器故障诊断
Fault diagnosis for condensers based on fuzzy BP neural network
【摘要】 对基于热力参数的凝汽器典型故障,建立了凝汽器典型故障集、征兆集及故障特征向量集合,提出了一种适用于凝汽器故障诊断的模糊BP神经网络方法,并以实例验证了该网络模型识别故障的准确性.
【Abstract】 In this paper, typical fault concourses, symptom concourses and typical fault feature vectors are set up for the typical faults of the condenser based on thermal parameters, and a method of fuzzy BP neural network is brought forward, which is applied to fault diagnosis of condensers. Its accuracy for identifying fault is verified.
- 【文献出处】 应用科技 ,Applied Science and Technology , 编辑部邮箱 ,2004年08期
- 【分类号】TK264.11
- 【被引频次】9
- 【下载频次】133