Multi-layers fault diagnosis method based on multi-source information

被引:0
|
作者
Zhao Qingqi [1 ]
Zhang Yaoyao [2 ]
Yang Yi
机构
[1] Liaoning Elect Power Co Ltd, Shenyang Power Supply Co, Shenyang 100811, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China
关键词
fault diagnosis system; multi-layers method;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Power grid fault diagnosis is an important means to guarantee the safe and stable operation of power system. This paper presents a multi-layers fault diagnosis method in order to achieve to judge fault components accurately and rapidly. The multi-layers fault diagnosis system is divided into switch layer diagnosis, feeder layer diagnosis and substation layer diagnosis. Using this method can not only diagnose simple and complex faults, but also judge fault type, fault phase and fault location. It provides a reliable guarantee to cut failure and restore operation quickly for operation personnel.
引用
收藏
页码:189 / 193
页数:5
相关论文
共 50 条
  • [41] Research on Adaptive Multi-Source Information Fault-Tolerant Navigation Method Based on No-Reference System Diagnosis
    Zhang, Ling
    Cui, Yuchen
    Xiong, Zhi
    Liu, Jianye
    Lai, Jizhou
    Lv, Pin
    SENSORS, 2019, 19 (13)
  • [42] The Fault Diagnosis Method Research of the Intelligent Substation Considering the Multi-Source Information of the Primary and Secondary System
    Gao Zhanjun
    Zhu Yi
    Wang Tao
    2015 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2015,
  • [43] A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis
    Tian, Jinghui
    Han, Dongying
    Li, Mengdi
    Shi, Peiming
    KNOWLEDGE-BASED SYSTEMS, 2022, 243
  • [44] Single-Ended Fault Location Method Based on Multi-Source Transient Information Fusion
    Deng F.
    Xu F.
    Zeng Z.
    Zhang Z.
    Feng S.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (13): : 3201 - 3212
  • [45] A fault diagnosis method of rolling bearings based on multi-source domain heterogeneous model transfer
    Wang Y.
    Xia L.
    Kang S.
    Xie J.
    Wang Q.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (24): : 257 - 266
  • [46] Multi-source Domain Adaptation Intelligent Fault Diagnosis Method Based on Asymmetric Adversarial Training
    Li, Zhipeng
    Ma, Tianyu
    Liu, Jinping
    Xiang, Qingsong
    Tang, Junjie
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (18): : 76 - 88
  • [47] A multi-source subdomain adaptation fault diagnosis method based on unidirectional movement of the target domain
    Ma, Tianyu
    Li, Zhipeng
    Yang, Dan
    Tang, Junjie
    Liu, Jinping
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (05)
  • [48] Fault Risk Early Warning Method of Distribution Network Based on Multi-source Information Fusion
    Yang, Fan
    Liu, Jun
    Wan, Junjie
    2022 9TH INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION, IFEEA, 2022, : 311 - 314
  • [49] New Method of Fault Location for Active Distribution Network Based on Multi-source Information Fusion
    Li Z.
    Wang Z.
    Zhang Y.
    Dianwang Jishu/Power System Technology, 2023, 47 (08): : 3448 - 3456
  • [50] Multi-Source Sensor Fault Diagnosis Method Based on Improved CNN-GRU Network
    Ma L.
    Guo J.
    Wang S.
    Wang J.
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2021, 41 (12): : 1245 - 1252