Application of improved particle swarm optimization BP neural network in transformer fault diagnosis

被引：0
|
作者：
Zhang, Yingjie [1 ]
Guo, Ping-jie [2 ]
Chen, Erkui [1 ]
Ma, Chong [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Elect & Automat Engn, Qingdao 266590, Shandong, Peoples R China
[2] State Grid Wucheng Power Supply Co, Dezhou 253300, Shandong, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
Improved particle swarm optimization algorithm; BP neural network; Transformer; Fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A power transformer fault diagnosis method based on Improved Particle Swarm Optimization and BP neural network is proposed. The particle swarm algorithm that used to optimize the parameters of the BP neural network is prone to "premature". By optimizing the inertia weight, in the process of increasing the number of iterations, the inertia weight can be gradually reduced, and the algorithm can avoid the partial optimization. By introducing momentum terms, the weights adjusting method of BP neural network is optimized. The training speed of BP neural network is speeded up and the training accuracy is improved. Simulation results show that the improved PSO algorithm can optimize the BP neural network effectively in transformer fault diagnosis, and improve the efficiency of diagnosis.
引用
收藏
页码：6971 / 6975
页数：5
相关论文
共 50 条
  • [1] Improved BP Neural Network for Transformer Fault Diagnosis
    SUN Yan-jing
    [J]. International Journal of Mining Science and Technology, 2007, (01) : 138 - 142
  • [2] The Application of Particle Swarm Optimization-based RBF Neural Network in Fault Diagnosis of Power Transformer
    Niu, Wu
    Xu, Liang-fa
    Wu, Ji-lin
    [J]. 2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 2, 2009, : 534 - +
  • [3] The Research and Application of BP Neural Network Based on Improved Particle Swarm Optimization
    Huang, Dechang
    Huang, Zhaodi
    Zhou, Jiali
    Wang, Yifan
    [J]. NEW INDUSTRIALIZATION AND URBANIZATION DEVELOPMENT ANNUAL CONFERENCE: THE INTERNATIONAL FORUM ON NEW INDUSTRIALIZATION DEVELOPMENT IN BIG-DATA ERA, 2015, : 760 - 764
  • [4] Power transformer fault diagnosis based on neural network evolved by particle swarm optimization
    School of Computer Science and Technology, North China Electric Power University, Baoding 071003, China
    不详
    [J]. Gaodianya Jishu, 2008, 11 (2362-2367):
  • [5] Wavelet Neural Network Based Transformer Fault Diagnosis Using Particle Swarm Optimization
    Wu Zhongli
    Dong Xing
    Wang Dongfeng
    Zhu Yongli
    Han Pu
    [J]. SYSTEMS, ORGANIZATIONS AND MANAGEMENT: PROCEEDINGS OF THE 3RD WORKSHOP OF INTERNATIONAL SOCIETY IN SCIENTIFIC INVENTIONS, 2009, : 64 - 69
  • [6] Application of an Improved Particle Swarm Optimization for Fault Diagnosis
    Wang Chu-Jiao
    Xia Shi-Xiong
    [J]. WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 527 - 530
  • [7] Application of particle-swarm-optimization-based neural network to fault diagnosis
    Wei, Xiuye
    Pan, Hongxia
    Ma, Qingfeng
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2006, 26 (02): : 133 - 137
  • [8] Application of Particle Swarm Algorithm to Optimization of BP Neural Network
    Zhang, Ling
    [J]. 2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 2, 2011, : 176 - 178
  • [9] Power Transformer Fault Diagnosis Based on Improved BP Neural Network
    Jin, Yongshuang
    Wu, Hang
    Zheng, Jianfeng
    Zhang, Ji
    Liu, Zhi
    [J]. ELECTRONICS, 2023, 12 (16)
  • [10] Application of Optimized Neural Network Based on Particle Swarm Optimization Algorithm in Fault Diagnosis
    Zhong, Bingxiang
    Wang, Debiao
    Li, Taifu
    [J]. PROCEEDINGS OF THE 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2009, : 476 - 480
12345