Fault Diagnosis of Power Transformer Based on DGA and Information Fusion

被引:1
作者
Sun, Chengqun [1 ]
Chen, Yu [2 ]
Tang, Ning [2 ]
机构
[1] Nari Grp Corp, Nanjing, Peoples R China
[2] Nanjing Nari informat & Commun Technol Co Ltd, Nanjing, Peoples R China
来源
2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022) | 2022年
关键词
power transformer; fault diagnosis; dissolved gas analysis; information fusion; D-S theory; GAS;
D O I
10.1109/ICPSAsia55496.2022.9949927
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Aiming to improve fault diagnosis performance of power transformer, a novel approach based on dissolved gas analysis and information fusion technology is presented in this paper. The diagnosis results obtained by grey relation analysis, fuzzy logic, and back propagation neuron network are employed as basic probability assignments of D-S theory. Then, compatibility ratio is used to solve the possible conflicts among different sub-evidences. Finally, fault diagnosis result is obtained thorough decision-making criterial. The experimental result suggest that the proposed approach has better performance than that of conventional methods, and fault diagnosis accuracy up to 93.18%.
引用
收藏
页码:247 / 251
页数:5
相关论文
共 15 条
  • [1] A new model of faults classification in power transformers based on data optimization method
    Abdo, Ali
    Liu, Hongshun
    Zhang, Hongru
    Guo, Jian
    Li, Qingquan
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 200
  • [2] [Anonymous], 2014, 60599 IEC
  • [3] [Anonymous], 2019, C571042019 IEEE, DOI DOI 10.1109/IEEESTD.2019.8890040
  • [4] Duval M., 1989, IEEE Electrical Insulation Magazine, V5, P22, DOI 10.1109/57.44605
  • [5] New techniques for dissolved gas-in-oil analysis
    Duval, M
    [J]. IEEE ELECTRICAL INSULATION MAGAZINE, 2003, 19 (02) : 6 - 15
  • [6] An Integrated Method of ANFIS and Dempster-Shafer Theory for Fault Diagnosis of Power Transformer
    Kari, Tusongjiang
    Gao, Wensheng
    Zhao, Dongbo
    Zhang, Ziwei
    Mo, Wenxiong
    Wang, Yong
    Luan, Le
    [J]. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2018, 25 (01) : 360 - 371
  • [7] Learning from even a weak teacher: Bridging rule-based Duval method and a deep neural network for power transformer fault diagnosis
    Kim, Sunuwe
    Park, Jongmin
    Kim, Wongon
    Jo, Soo-Ho
    Youn, Byeng D.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 136
  • [8] An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning
    Liao, Ruijin
    Zheng, Hanbo
    Grzybowski, Stanislaw
    Yang, Lijun
    Zhang, Yiyi
    Liao, Yuxiang
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (02) : 1111 - 1118
  • [9] Development of a New Graphical Technique for Dissolved Gas Analysis in Power Transformers Based on the Five Combustible Gases
    Mansour, Diaa-Eldin A.
    [J]. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2015, 22 (05) : 2507 - 2512
  • [10] Naganathan G S, 2021, MATER TODAY-PROC, V2, P3263