A new Fault Diagnosis Method Based on Damped Least Square QR-factorization Algorithm in Grounding Grid

被引:0
|
作者
Yao Degui [1 ]
Kou Xiaokuo [1 ]
Zhu Guangjie [1 ]
Yang Fan [2 ]
Dai Feng [2 ]
Liu Kai [2 ]
Hu Jiajia [2 ]
机构
[1] Henan Power Co, Elect Power Res Inst, Zhengzhou 450000, Henan, Peoples R China
[2] Chongqing Univ, Sch Elect Engn, State Key Lab Transmiss & Distribut Equipment & S, Chongqing 400044, Peoples R China
关键词
Grounding grid; fault diagnosis; damped least square QR-factorization algorithm; magnetic field reconstruction; ill-posed; MODEL;
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
With the development of power system and the constant attention to the security of equipment and personnel, fault diagnosis of grounding grid gets more and more attention. In this paper, a new fault diagnosis method for grounding grid based on damped least square QR-factorization algorithm is presented. Firstly, a magnetic field reconstruction method based on the magnetic field method is presented and then a calculation method for magnetic field above grounding grid is proposed. Afterwards, in order to solve the ill-posed reconstruction equations, a damped least squares QR-factorization algorithm is used. Finally, a simulation example is used to verify the feasibility and accuracy of the algorithm. The simulation results show that the reconstructed magnetic field and actual magnetic field are very close; the reconstruction method can also be used when the original data have some errors. So the magnetic field reconstruction method in this paper can be applied to fault diagnosis of grounding grid.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] New method for clear day selection based on normalized least mean square algorithm
    Zaiani, Mohamed
    Djafer, Djelloul
    Chouireb, Fatima
    Irbah, Abdanour
    Hamidia, Mahfoud
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 139 (3-4) : 1505 - 1512
  • [32] A New QR Factorization Method by Recursive Blocked Gram-Schmidt Algorithm and Recursive Blocked Cholesky Factorization
    Ozawa, Shinya
    Hosoda, Yohsuke
    Hasegawa, Takemitsu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014), 2015, 1648
  • [33] Least square method based evolutionary neural learning algorithm
    Ghosh, R
    Verma, B
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 2596 - 2601
  • [34] A fault diagnosis method based on tensor factorization for batch processes
    Zhang X.-L.
    Cao Y.-P.
    Deng X.-G.
    Zhang, Xiao-Ling (xiao_3290@163.com), 1600, Zhejiang University (34): : 190 - 199
  • [35] Least Square Method For Impedance Based Fault Location In Ungrounded Networks
    Namas, Tarik
    Dzafic, Izudin
    2020 IEEE 2ND GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2020), 2020, : 274 - 278
  • [36] Pulverizing System Fault Diagnosis Based on Least Square Support Vector Machine
    Jiao, Song Ming
    PROCEEDINGS OF 2016 2ND INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2016, : 276 - 279
  • [37] The Transformer Fault Diagnosis Based on AdaBoost Least Square Support Vector Machine
    Du, Wenxia
    Zhao, Xiuping
    Lv, Feng
    Du, Hailian
    PROCEEDINGS OF 2016 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL I, 2016, 404 : 553 - 561
  • [38] Research of Small Current Grounding Fault Location Algorithm in Distribution Grid Based on RBF
    Wu Guifeng
    ChenHong
    WangXuan
    2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3, 2014, : 153 - +
  • [39] Fault Diagnosis of Grounding Grid Based on Self-Adaptive Particle Swarm Optimization
    Lan, Wenhao
    Zheng, Yihui
    Li, Lixue
    Wang, Xin
    Yao, Gang
    Zhang, Yang
    RENEWABLE ENERGY AND ENVIRONMENTAL TECHNOLOGY, PTS 1-6, 2014, 448-453 : 1937 - 1940
  • [40] Recursion Least Square Method to Study the Fault Diagnosis and Its Model of Hydraulic Equipment
    Hu Guoqing
    Luo Renfei(Department of Mechanical and Electrical Engineering
    InternationalJournalofPlantEngineeringandManagement, 1999, (01) : 383 - 390