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
  • [21] Sparse regression mixture modeling with the multi-kernel relevance vector machine
    Blekas, Konstantinos
    Likas, Aristidis
    KNOWLEDGE AND INFORMATION SYSTEMS, 2014, 39 (02) : 241 - 264
  • [22] Application of the multi-kernel non-negative matrix factorization on the mechanical fault diagnosis
    Yang, Yongsheng
    Zhang, Youyun
    Zhu, Yongsheng
    ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (05) : 1 - 11
  • [23] Application of support vector machines for fault diagnosis in power transmission system
    Ravikumar, B.
    Thukaram, D.
    Khincha, H. P.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (01) : 119 - 130
  • [24] Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization
    Chen, Fafa
    Tang, Baoping
    Song, Tao
    Li, Li
    MEASUREMENT, 2014, 47 : 576 - 590
  • [26] A new adaptive multi-kernel relevance vector regression for structural reliability analysis
    Dong, Manman
    Cheng, Yongbo
    Wan, Liangqi
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 243
  • [27] Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis
    Molina-Giraldo, S.
    Alvarez-Meza, A. M.
    Peluffo-Ordonez, D. H.
    Castellanos-Dominguez, G.
    ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2012, 2012, 7637 : 501 - 510
  • [28] Gearbox fault diagnosis based on multi-kernel support vector machine optimized by genetic simulated annealing algorithm
    Chen, Fafa, 1600, Nanjing University of Aeronautics an Astronautics (34):
  • [29] Incremental support vector machine algorithm based on multi-kernel learning
    Zhiyu Li 1
    2.College of Civil Aviation
    3.College of Automation
    JournalofSystemsEngineeringandElectronics, 2011, 22 (04) : 702 - 706
  • [30] Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine
    Zhao, Hongshan
    Gao, Yufeng
    Liu, Huihai
    Li, Lang
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (02) : 350 - 356