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Lecture Notes in Computer Science: S Transform for the Analysis of Impulse Faults in Transformer

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 324))

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Abstract

The tremendous and rapid growth of digital signal processing has motivated researchers to apply improved signal analysis techniques for the fault diagnosis of transformers. This paper demonstrates the application of Stockwell transform for the detection and analysis of impulse faults in transformers. Stockwell transform (S transform) is a time–frequency transformation method of signal analysis that conveys information directly in terms of time and frequency, and hence, interpretation of result becomes easier. Further, it produces the progressive resolution of the wavelet transform (WT) and maintains a direct link to the Fourier transform. The proposed method is validated through simulation of faults in a lumped parameter model of a layer winding transformer. The results are encouraging and pave way to develop an automated impulse fault classification system.

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Author information

Authors and Affiliations

  1. Department of Instrumentation Engineering, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India

    N. Vanamadevi, S. Santhi & R. Saranya

Authors
  1. N. Vanamadevi
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  2. S. Santhi
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  3. R. Saranya
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Corresponding author

Correspondence to N. Vanamadevi .

Editor information

Editors and Affiliations

  1. Electrical & Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L. Padma Suresh

  2. Electrical and Electronics Engineering, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electrical Engineering, IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Vanamadevi, N., Santhi, S., Saranya, R. (2015). Lecture Notes in Computer Science: S Transform for the Analysis of Impulse Faults in Transformer. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 324. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2126-5_76

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  • DOI: https://doi.org/10.1007/978-81-322-2126-5_76

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2125-8

  • Online ISBN: 978-81-322-2126-5

  • eBook Packages: EngineeringEngineering (R0)

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