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Discrete Wavelet Transform and Fuzzy Logic Algorithm for Classification of Fault Type in Underground Cable

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 643))

Abstract

This paper proposes the combination of discrete wavelet transform (DWT) and fuzzy logic to classify the fault type in underground distribution cable. The DWT is employed to decompose high frequency component from fault signal with the mother wavelet daubechies4 (db4). The maximum coefficients detail of DWT from phase A, B, C and zero sequence for post-fault current waveforms are considered as an input pattern of decision algorithm. Triangle-shaped S-shaped and Z-shaped membership function with maximum, medium, minimum, and zero are used to create a function for the input variable. Output variable of fuzzy are designated as values range 1 to 10 which corresponding with type of fault. The obtained average accuracy results shown that the proposed decision algorithm is able to classify the fault type with satisfactory accuracy.

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Acknowledgments

This authors wish to gratefully acknowledge financial support for this research (No. KREF025606) from the King Mongkut’s Institute of Technology Ladkrabang Research fund, Thailand. They also would like to thank the Srinakharinwirot University and PEA for the DigSILENT presented in this article.

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Authors and Affiliations

  1. Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, Thailand

    Suntiti Yoomak, Chaichan Pothisarn, Chaiyan Jettanasen & Atthapol Ngaopitakkul

Authors
  1. Suntiti Yoomak
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  2. Chaichan Pothisarn
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  3. Chaiyan Jettanasen
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  4. Atthapol Ngaopitakkul
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Corresponding author

Correspondence to Atthapol Ngaopitakkul .

Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Slawomir Zadrożny

  4. Institute of Biophysics and Biomedical Engineering, Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Yoomak, S., Pothisarn, C., Jettanasen, C., Ngaopitakkul, A. (2018). Discrete Wavelet Transform and Fuzzy Logic Algorithm for Classification of Fault Type in Underground Cable. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_52

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  • DOI: https://doi.org/10.1007/978-3-319-66827-7_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66826-0

  • Online ISBN: 978-3-319-66827-7

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