Fault diagnosis of substation by the constructed decision tree based on principal component analysis(PCA) and rough set

被引：0
|
作者：
Zhang, Yan-Song [1 ]
Zhao, Ying-Kai [1 ]
机构：
[1] Automation and Electrical Engineering College, Nanjing University of Technology, Nanjing 210009, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2010年 / 38卷 / 14期
关键词：
Decision tables;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：104 / 109
相关论文
共 50 条
  • [41] Fault Diagnosis of a Cooling Package for AECS Based on Principal Component Analysis
    Lei, Zhu
    Zhou, Geng
    2015 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM), 2015,
  • [42] Diagnosis of Diabetic Retinopathy Using Principal Component Analysis (PCA)
    Bhatkar, Amol P.
    Kharat, Govind
    SMART TRENDS IN INFORMATION TECHNOLOGY AND COMPUTER COMMUNICATIONS, SMARTCOM 2016, 2016, 628 : 768 - 778
  • [43] Analysis of Principal Component Analysis-Based Reconstruction Method for Fault Diagnosis
    Zhou, Zhe
    Yang, Chunjie
    Wen, Chenglin
    Zhang, Jie
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2016, 55 (27) : 7402 - 7410
  • [44] Image De-noising and Enhancement based on Rough Set and Principal Component Analysis
    Huang, Wenzhun
    Wang, Harry Haoxiang
    Liu, Zhe
    Wang, Liping
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 536 - 539
  • [45] Fault detection and diagnosis of multiphase batch process based on kernel principal component analysis-principal component analysis
    Qi, Yong-Sheng
    Wang, Pu
    Gao, Xue-Jin
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2012, 29 (06): : 754 - 764
  • [46] Analysis of Decision Tree Mining Algorithm Based on Improved Rough Set Classification
    Wang, Lan
    Xu, Hongsheng
    PROCEEDINGS OF THE 2016 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND MEDICINE (EMCM 2016), 2017, 59 : 993 - 997
  • [47] A rough set-based bio-inspired fault diagnosis method for smart substation protection equipment
    Liang W.
    Zhu W.
    Li H.
    Yan Y.
    Dong G.
    Wang X.
    Gong J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (21): : 132 - 140
  • [48] A Study on Applications of Principal Component Analysis and Kernel Principal Component Analysis for Gearbox Fault Diagnosis
    Pan, Deng
    Liu, Zhiliang
    Zhang, Longlong
    Liu, Yinjiang
    Zuo, Ming J.
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV, 2013, : 1917 - 1922
  • [49] A computational intelligence technique for the effective diagnosis of diabetic patients using principal component analysis (PCA) and modified fuzzy SLIQ decision tree approach
    Varma, Kamadi V. S. R. P.
    Rao, Allam Appa
    Mahalakshmi, Thummala Sita
    Rao, P. V. Nageswara
    APPLIED SOFT COMPUTING, 2016, 49 : 137 - 145
  • [50] A novel motor fault diagnosis method based on principal component analysis (PCA) with a discrete belief rule base (DBRB) system
    Yu, Hang
    Gao, Haibo
    He, Yelan
    Lin, Zhiguo
    Xu, Xiaobin
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 34 (03)
12345