| 基于SSA-PNN的电力变压器故障诊断 |
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| 引用本文： | 张鑫,王衡,卫永鹏,王胜利,苏益辉.基于SSA-PNN的电力变压器故障诊断[J].工业仪表与自动化装置,2022(1):86-90. |
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| 作者姓名： | 张鑫 王衡 卫永鹏 王胜利 苏益辉 |
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| 作者单位： | 1. 国网甘肃省电力公司检修公司;2. 兰州理工大学电气工程与信息工程学院 |
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| 摘 要： | 为了提高变压器故障诊断的准确率,在改良三比值法的基础上,采用麻雀搜索算法优化概率神经网络构建一种新型变压器故障诊断网络模型,并设计相应的故障诊断方法。分析表明,与基于概率神经网络的变压器故障诊断方法相比,基于该网络模型的诊断方法提高了变压器故障识别与故障分类的准确率,在电力变压器的故障诊断中具有一定的实际工程意义。
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| 关 键 词： | 变压器 故障诊断 麻雀搜索算法 概率神经网络 |
Fault diagnosis of power transformer based on SSA-PNN |
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| ZHANG Xin,WANG Heng,WEI Yongpeng,WANG Shengli,SU Yihui.Fault diagnosis of power transformer based on SSA-PNN[J].Industrial Instrumentation & Automation,2022(1):86-90. |
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| Authors: | ZHANG Xin WANG Heng WEI Yongpeng WANG Shengli SU Yihui |
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| Affiliation: | (State Grid Gansu Electric Power Company Maintenance Company;College of Electrical and Information Engineering, Lanzhou University of Technology, Gansu Lanzhou 730050,China) |
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| Abstract: | In order to improve the accuracy of transformer fault diagnosis,based on the improved three ratio method,the sparrow search algorithm is used to optimize the probabilistic neural network,a new transformer fault diagnosis network model is established,and the corresponding fault diagnosis method is designed.The analysis shows that compared with the transformer fault diagnosis method based on probabilistic neural network,the diagnosis method based on the network model improves the accuracy of transformer fault identification and fault classification,and has certain engineering practical significance in the fault diagnosis of power transformer. |
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| Keywords: | transformer fault diagnosis sparrow search algorithm probabilistic neural network |
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