Fault Diagnosis of Frequency Converter in Wind Power System Based on SOM Neural Network

被引：20

作者：

You, Xiangyang ^{[1
]}

Zhang, Weijuan ^{[1
]}

机构：

[1] Sanmenxia Polytech, Elect Engn Dept, Sanmenxia, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

Wind Power; Fault Diagnosis; Frequency Converter; SOM Neural Network;

D O I：

10.1016/j.proeng.2012.01.453

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper a fault diagnosis system of wind turbine's converter is studied by using the self-organizing feature map neural network. The fault sets, fault symptoms and fault feature data are summarized. Experiments for network training and simulation are carried out by neural network toolbox of MATLAB. Experimental result indicates that this method can effectively diagnose the fault of frequency converter in wind power system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

引用

页码：3132 / 3136

页数：5

共 50 条

[31] Power transformer fault diagnosis using SOM-based rbf neural networks
Liang, Yong-Chun
Liu, Jian-Ye
[J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3140 - +
[32] Fault Diagnosis of Wind Turbine Power Converter Considering Wavelet Transform, Feature Analysis, Judgment and BP Neural Network
Zhang, Jingxuan
Sun, Hexu
Sun, Zexian
Dong, Weichao
Dong, Yan
[J]. IEEE ACCESS, 2019, 7 : 179799 - 179809
[33] Deep Learning Neural Network for Power System Fault Diagnosis
Wang Yixing
Liu Meiqin
Bao Zhejing
[J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 6678 - 6683
[34] Application of Wavelet Neural Network to Fault Diagnosis of Power System
Hu Jian
Hu Fanjun
[J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 2283 - 2288
[35] Neural network based fault diagnosis in an HVDC system
Etemadi, H
Sood, VK
Khorasani, K
Patel, RV
[J]. DRPT2000: INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, PROCEEDINGS, 2000, : 209 - 214
[36] Fault Diagnosis for Embedded System Based on Neural Network
Du, G. C.
[J]. INTERNATIONAL CONFERENCE ON ADVANCED EDUCATIONAL TECHNOLOGY AND INFORMATION ENGINEERING (AETIE 2015), 2015, : 674 - 680
[37] The Fault Diagnosis of Electric Power Metering System Based on Momentum BP Neural Network
Yang, Zhang Yue
Jun, Zhao Jian
Wei, Liang
[J]. MECHANICAL COMPONENTS AND CONTROL ENGINEERING III, 2014, 668-669 : 724 - 728
[38] Power System Fault Probability Diagnosis Based on the Logistic Regression Deep Neural Network
Lin J.
Ren Y.
Shan X.
Li J.
Zhai M.
Wang B.
[J]. Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2021, 54 (02): : 186 - 195
[39] Fault Diagnosis to Nuclear Power Plant System Based on TimeSeries Convolution Neural Network
Li, XianLing
Han, DongJiang
Dai, XinFa
Lv, ShuYu
Tao, Mo
Zheng, Wei
Tang, YiBin
[J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
[40] Fault Diagnosis of Wind Turbine Based on Convolution Neural Network Algorithm
Xiao, Wei
Ye, Zi
Wang, Siyu
[J]. Computational Intelligence and Neuroscience, 2022, 2022

← 1 2 3 4 5 →