Study on application of multi-kernel learning relevance vector machines in fault diagnosis of power transformers

被引:0
|
作者
机构
[1] Zhu, Yongli
[2] Yin, Jinliang
来源
Zhu, Y. (yonglipw@heinfo.net) | 2013年 / Chinese Society for Electrical Engineering卷 / 33期
关键词
Power transformers;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Application of Learning Vector Quantization Network in Fault Diagnosis of Power Transformer
    Liu, Jianye
    Liang, Yongchun
    Sun, Xiaoyun
    2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 4435 - 4439
  • [42] Fault diagnosis of oil-immersed power transformers using kernel based extreme learning machine
    Zhang, Liwei
    Metallurgical and Mining Industry, 2015, 7 (07): : 213 - 218
  • [43] Intelligent fault diagnosis of rotating machinery based on multiple relevance vector machines with variance radial basis function kernel
    He, C.
    Liu, C.
    Li, Y.
    Yuan, J.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2011, 225 (C7) : 1718 - 1729
  • [44] A Fusion Prognostic Approach Based on Multi-kernel Relevance Vector Machine and Bayesian Model Averaging
    Liu, Yuefeng
    Zhao, Guangquan
    Peng, Xiyuan
    Liu, Yuefeng
    2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [45] Tool wear predicting based on weighted multi-kernel relevance vector machine and probabilistic kernel principal component analysis
    Guohao Song
    Jianhua Zhang
    Yingshang Ge
    Kangyi Zhu
    Zhensheng Fu
    Luchuan Yu
    The International Journal of Advanced Manufacturing Technology, 2022, 122 : 2625 - 2643
  • [46] Tool wear predicting based on weighted multi-kernel relevance vector machine and probabilistic kernel principal component analysis
    Song, Guohao
    Zhang, Jianhua
    Ge, Yingshang
    Zhu, Kangyi
    Fu, Zhensheng
    Yu, Luchuan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 122 (5-6): : 2625 - 2643
  • [47] Chaotic time series prediction based on multi-kernel learning support vector regression
    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    Wuli Xuebao, 2008, 5 (2708-2713):
  • [48] Evolutionary multi-objective fault diagnosis of power transformers
    Peimankar, Abdolrahman
    Weddell, Stephen John
    Jalal, Thahirah
    Lapthorn, Andrew Craig
    SWARM AND EVOLUTIONARY COMPUTATION, 2017, 36 : 62 - 75
  • [49] The Application of Chaos Support Vector Machines in Transformer Fault Diagnosis
    Li, Jisheng
    Zhao, Xuefeng
    Sun, Zhenquan
    Li, Yanming
    ICPADM 2009: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS, VOLS 1-3, 2009, : 236 - 239
  • [50] Application of combined support vector machines in process fault diagnosis
    Tafazzoli, Esmaeil
    Saif, Mehrdad
    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, : 3429 - 3433