Efficient Fault Detection Method for a Degaussing Coil System Based on an Analytical Sensitivity Formula

被引:1
|
作者
Choi, Nak-Sun [1 ]
Kim, Dong-Wook [1 ]
Yang, Chang-Seob [2 ]
Chung, Hyun-Ju [2 ]
Kim, Heung-Geun [1 ]
Kim, Dong-Hun [1 ]
机构
[1] Kyungpook Natl Univ, Dept Elect Engn, Taegu 702701, South Korea
[2] Agcy Def Dev, R&D Inst 2 6, Chang Won 645600, South Korea
关键词
diagnosis; electromagnetics; inverse problem; design sensitivity; MAGNETIZATION;
D O I
10.4283/JMAG.2013.18.2.135
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes an efficient fault detection method for onboard degaussing coils which are installed to minimize underwater magnetic fields due to the ferromagnetic hull. To achieve this, the method basically uses field signals measured at specific magnetic treatment facilities instead of time-consuming numerical field solutions in a three-dimensional analysis space. In addition, an analytical design sensitivity formula and the linear property of degaussing coil fields is being exploited for detecting fault coil positions and assessing individual degaussing coil currents. Such peculiar features make it possible to yield fast and accurate results on the fault detection of degaussing coils. For foreseeable fault conditions, the proposed method is tested with a model ship equipped with 20 degaussing coils.
引用
收藏
页码:135 / 141
页数:7
相关论文
共 50 条
  • [31] Online detection method for internal fault of permanent magnet synchronous generator based on new type of search coil
    Tian, Daizong
    Sun, Yuguang
    Du, Wei
    Gui, Lin
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 1953 - 1958
  • [32] Efficient multivariate sensitivity analysis for dynamic models based on cubature formula
    Liu, Yushan
    Li, Luyi
    Zhou, Changcong
    Zhao, Haodong
    ENGINEERING STRUCTURES, 2020, 206
  • [33] A fault detection method for a class of nonlinear system
    Chang Yu-qing
    Wang Fu-li
    Wang Xiao-gang
    Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 2005, : 1031 - 1034
  • [34] ANOVA fault detection method in photovoltaic system
    Andrianajaina, T.
    Razahmahefa, D. T.
    Heraud, N.
    Sambatra, E. J. R.
    2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1, 2020, : 37 - 41
  • [35] Research on Fault Detection Method of FADS System
    Jia Q.
    Zhang W.
    Shi J.
    Li G.
    Liu X.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2020, 38 (06): : 1210 - 1217
  • [36] Fault detection based on system feedback
    Maican, Camelia
    Radulescu, Virginia
    2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2022, : 136 - 141
  • [37] AN EFFICIENT ALGORITHM FOR SIMULTANEOUS MULTIPLE FAULT DETECTION IN IMMUNITY-BASED SYSTEM DIAGNOSIS
    Wada, Koji
    Toriu, Takashi
    Hama, Hiromitsu
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2014, 10 (05): : 1699 - 1714
  • [38] Efficient fault detection using support vector machine based hybrid expert system
    Kishore B.
    Satyanarayana M.R.S.
    Sujatha K.
    International Journal of System Assurance Engineering and Management, 2016, 7 (Suppl 1) : 34 - 40
  • [39] A fault detection system for wind power generator based on intelligent clustering method
    Moon, D.-S. (nalba01@kunsan.ac.kr), 1600, Institute of Control, Robotics and Systems (19):
  • [40] A ground fault detection method of substation DC system based on particle filter
    An W.
    Wu J.
    Ling N.
    Du X.
    International Journal of Power and Energy Conversion, 2022, 13 (3-4) : 224 - 234