基于Matlab的牵引变压器故障智能诊断方法研究

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英文篇名：Researches on Matlab based Intelligent Diagnosis Method for Traction Transformers 作者：崔建强 英文作者：CUI Jianqiang; 关键词：数据融合技术 ; 模糊神经网络 ; 牵引变压器 ; 故障智能诊断 英文关键词：Data fusion technology;;fuzzy neural network;;traction transformer;;intelligent fault diagnosis 中文刊名：DQHD 英文刊名：Electric Railway 机构：中国铁路济南局济南供电段; 出版日期：2018-02-15 出版单位：电气化铁道 年：2018 期：v.29;No.145 语种：中文; 页：DQHD201801005 页数：7 CN：01 ISSN：11-2701/U 分类号：26-31+39

摘要

应用数据融合技术、模糊神经网络及遗传算法构建牵引变压器故障智能诊断模型,通过Matlab软件对该模型进行仿真,训练模糊神经网络以确定其结构和权重,并通过典型实例验证该模型在牵引变压器故障诊断中具有良好的故障诊断性能。
        The intelligent fault diagnosis model is designed by application of data fusion technology, fuzzy neural network and genetic algorithm, and it is simulated by MATLAB software to train the fuzzy neural network so as to determine its structure and weight. The typical experiments show that the model has very good functions for diagnosis of traction transformer faults.

引文

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