Principal component sparse and its application in GIS partial discharge feature extraction

被引：0
|
作者：
Lü, Fangcheng [1 ]
Jin, Hu [1 ]
Wang, Zijian [1 ]
Zhang, Bo [1 ]
机构：
[1] Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding,071003, China
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2015年 / 30卷 / 08期
关键词：
Discharge simulations - Experiment platforms - Extraction of characteristics - Gas insulated switchgears - Partial discharge models - Partial discharge pattern recognition - Principal Components - Sparse;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：282 / 288
相关论文
共 50 条
  • [1] STPCA: Sparse Tensor Principal Component Analysis for Feature Extraction
    Wang, Su-Jing
    Sun, Ming-Fang
    Chen, Yu-Hsin
    Pang, Er-Ping
    Zhou, Chun-Guang
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 2278 - 2281
  • [2] Feature Frequency Extraction Algorithm Based on Principal Component Analysis and Its Application
    Li Z.
    Li W.
    Zhao X.
    Zheng X.
    Li, Weiguang (wguangli@scut.edu.cn), 2018, Nanjing University of Aeronautics an Astronautics (38): : 834 - 842
  • [3] Classification feature extraction algorithm for GIS partial discharge pulses
    Hao, Fengjie (10121683@bjtu.edu.cn), 2016, China Machine Press (31):
  • [4] Feature Frequency Extraction Based on Principal Component Analysis and Its Application in Axis Orbit
    Li, Zhen
    Li, Weiguang
    Zhao, Xuezhi
    SHOCK AND VIBRATION, 2018, 2018
  • [5] Application of wavelets and principal component analysis to process quantitative feature extraction
    Zhu, Xuemei
    Zhang, Liang
    Wei, Jianhua
    Zhou, Shaoyuan
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 723 - +
  • [6] Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring
    Deng, Xiaogang
    Tian, Xuemin
    Chen, Sheng
    Harris, Chris J.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (06) : 2526 - 2540
  • [7] Parallel Ensemble Empirical Mode Decomposition and Its Application in Feature Extraction of Partial Discharge Signals
    Zhu Y.
    Wang L.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2018, 33 (11): : 2508 - 2519
  • [8] Optimization of principal component analysis in feature extraction
    Gao Haibo
    Hong Wenxue
    Cui Jianxin
    Xu Yonghong
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 3128 - 3132
  • [9] Feature Parameters Extraction of GIS Partial Discharge Signal with Multifractal Detrended Fluctuation Analysis
    Tang, Ju
    Wang, Dibo
    Fan, Lei
    Zhuo, Ran
    Zhang, Xiaoxing
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2015, 22 (05) : 3037 - 3045
  • [10] APPLICATION OF KERNEL PRINCIPAL COMPONENT ANALYSIS TO THE FEATURE EXTRACTION OF STRUCTURE DAMAGE IDENTIFICATION
    Wang, Q. F.
    Huang, F. L.
    Zhao, Z.
    ENVIRONMENTAL VIBRATIONS: PREDICTION, MONITORING, MITIGATION AND EVALUATION, VOLS I AND II, 2009, : 1405 - 1409
12345