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Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment

  • Pengju Kang
Part of the Computational Imaging and Vision book series (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.

Keywords

Wavelet Analysis Vibration Signal Cross Term Transient Signal Time Domain Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Pengju Kang
    • 1
  1. 1.School of Electrical and Electronic Systems EngineeringQueensland University of TechnologyBrisbaneAustralia

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