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

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 691))

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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.

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References

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Acknowledgements

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

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Authors and Affiliations

  1. State Grid Information and Telecommunication Group Co., Ltd., Beijing, China

    Hua-dong Yu, Qing-hai Ou, Qing Wu, Zhe Zhang & Wen-jing Li

  2. State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, 100192, China

    Yubo Wang & Guohua Liu

  3. Beijing Engineering Research Center of High-Reliability IC with Power Industrial Grade, Beijing Smart-Chip Microelectronics Technology Co., Ltd., Beijing, 100192, China

    Yubo Wang & Guohua Liu

  4. State Grid Jiangsu Electric Power Company Research Institute, Nanjing, 21110, China

    Yongling Lu & Chengbo Hu

  5. Control and Computer Engineering College, North China Electric Power University, NCEPU, Beijing, China

    Na Liu & Rong Wang

Authors
  1. Hua-dong Yu
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  2. Qing-hai Ou
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  3. Qing Wu
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  4. Zhe Zhang
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  5. Wen-jing Li
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  6. Yubo Wang
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  7. Guohua Liu
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  8. Yongling Lu
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  9. Chengbo Hu
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  10. Na Liu
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  11. Rong Wang
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Corresponding author

Correspondence to Hua-dong Yu .

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Editors and Affiliations

  1. Shenyang Jianzhu University , Shenyang, China

    Feng Qiao

  2. SOA University , Bhubaneswar, India

    Srikanta Patnaik

  3. Montclair State University , Montclair, New Jersey, USA

    John Wang

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Yu, Hd. et al. (2018). Research on Identification Method of Transformer Based on Improved Hu Invariant Moments. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-70990-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70989-5

  • Online ISBN: 978-3-319-70990-1

  • eBook Packages: EngineeringEngineering (R0)

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