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Research on Identification Method of Transformer Based on Improved Hu Invariant Moments

  • Hua-dong YuEmail author
  • Qing-hai Ou
  • Qing Wu
  • Zhe Zhang
  • Wen-jing Li
  • Yubo Wang
  • Guohua Liu
  • Yongling Lu
  • Chengbo Hu
  • Na Liu
  • Rong Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 691)

Abstract

With the rapid development of electric power industry and the expansion of power grid scale, more and more attentions have been paid to the safe operation of electrical equipment. The target recognition method we used now couldn’t recognize power transformer well, which is based on gray information. In this paper, a transformer identification algorithm based on improved Hu moment invariants is proposed. The transformer identification algorithm proposed in this paper has the advantages of good recognition effect and high recognition accuracy. The correctness and feasibility of the proposed algorithm have been verified by experiments.

Keywords

Power transformer Hu invariant moments template matching Image recognition 

Notes

Acknowledgements

This work is supported by the Science and Technology Research Project of State Grid Corporation of China (526816160024).

References

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    Hu, M.: Visual pattern recognition by moment invariants. IRE Trans. Info. Theor. 8(2), 179–187 (1962)CrossRefzbMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Hua-dong Yu
    • 1
    Email author
  • Qing-hai Ou
    • 1
  • Qing Wu
    • 1
  • Zhe Zhang
    • 1
  • Wen-jing Li
    • 1
  • Yubo Wang
    • 2
    • 3
  • Guohua Liu
    • 2
    • 3
  • Yongling Lu
    • 4
  • Chengbo Hu
    • 4
  • Na Liu
    • 5
  • Rong Wang
    • 5
  1. 1.State Grid Information and Telecommunication Group Co., Ltd.BeijingChina
  2. 2.State Grid Key Laboratory of Power Industrial Chip Design and Analysis TechnologyBeijing Smart-Chip Microelectronics Technology Co., Ltd.BeijingChina
  3. 3.Beijing Engineering Research Center of High-Reliability IC with Power Industrial GradeBeijing Smart-Chip Microelectronics Technology Co., Ltd.BeijingChina
  4. 4.State Grid Jiangsu Electric Power Company Research InstituteNanjingChina
  5. 5.Control and Computer Engineering CollegeNorth China Electric Power University, NCEPUBeijingChina

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