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模糊输入的概率神经网络在变压器故障诊断中的应用
Application of Probabilistic Neural Network for Fault Diagnosis of Power Transformer Based on Fuzzy Input
【摘要】 将概率神经网络引入到电力变压器的故障诊断中,并提出了利用模糊数学的知识对神经网络输入进行预处理的方法。采用改良的三比值方法来实现故障诊断,建立了基于模糊输入的神经网络故障诊断模型。通过对神经网络模型的实例训练及仿真,证明了此方法有较好的收敛性,提高了故障诊断的有效性和准确性。
【Abstract】 Probabilistic Neural Network is used in fault diagnosis of power transformer. A method using fuzzy math theory to deal with the data of the neural network input is proposed.Fault diagnosis of power transformer based on improved three ratio method is realized. And a fault diagnosis model of neural network based on fuzzy input is constituted. The simulation diagnosis demonstrates the effectiveness, astringency and veracity of the proposed algorithm.
【关键词】 概率神经网络;
模糊;
故障诊断;
气相色谱分析法;
【Key words】 probabilistic neural network fuzzy fault diagnosis dissolved gas analysis;
【Key words】 probabilistic neural network fuzzy fault diagnosis dissolved gas analysis;
【基金】 吉林省科技厅项目(200505263)
- 【文献出处】 电气应用 ,Electrotechnical Application , 编辑部邮箱 ,2007年07期
- 【分类号】TM407
- 【被引频次】5
- 【下载频次】163