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Wavelets in Signal and Image Analysis pp 501–541Cite as

Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 19))

Abstract

The operation of electromechanical equipment utilised in electricity supply industry produces a type of transient vibration signal, which can be measured using an accelerometer mounted on the tank of the equipment. The recorded vibration signature can be used for condition assessment of the equipment. The special characteristics existing in this type of vibration signal call for a special signalprocessing tool, which can extract the most salient features from the original signal. Wavelet transform, being able to transform the original noisy signal into a time-scale structure, is identified to be an effective tool in distilling the original signal and extracting the most important attributes for condition assessment of electromechanical equipment. The usefulness of wavelet analysis to condition monitoring applications is demonstrated using the signals collected from an on-load tap changer, a type of electromechanical equipment extensively used in power systems.

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Author information

Authors and Affiliations

  1. School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, Australia

    Pengju Kang

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  1. Pengju Kang
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Editors and Affiliations

  1. Texas Tech University, Lubbock, Texas, USA

    Arthur A. Petrosian

  2. University of Colorado, Boulder, Colorado, USA

    François G. Meyer

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© 2001 Springer Science+Business Media Dordrecht

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Kang, P. (2001). Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment. In: Petrosian, A.A., Meyer, F.G. (eds) Wavelets in Signal and Image Analysis. Computational Imaging and Vision, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9715-9_17

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  • DOI: https://doi.org/10.1007/978-94-015-9715-9_17

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5838-6

  • Online ISBN: 978-94-015-9715-9

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