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Wavelets and electromagnetic power system transients

IEEE Transactions on Power Delivery · 1996 · Vol. 11(2) · pp. 1050–1058
David RobertsonOctavia CampsJ.S. MayerW.B. Gish

Abstract

The wavelet transform is introduced as a method for analyzing electromagnetic transients associated with power system faults and switching. This method, like the Fourier transform, provides information related to the frequency composition of a waveform, but it is more appropriate than the familiar Fourier methods for the nonperiodic, wide-band signals associated with electromagnetic transients. It appears that the frequency domain data produced by the wavelet transform may be useful for analyzing the sources of transients through manual or automated feature detection schemes. The basic principles of wavelet analysis are set forth, and examples showing the application of the wavelet transform to actual power system transients are presented.

Image and Signal Denoising MethodsMachine Fault Diagnosis TechniquesPower Systems Fault DetectionWaveletWavelet transformHarmonic wavelet transformSecond-generation wavelet transformDiscrete wavelet transformElectronic engineeringFourier transformFrequency domainWaveformComputer science
Citations
542
FWCI
8.94
field-weighted impact
References
12
Percentile
98%
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Cited by
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References
A theory for multiresolution signal decomposition: the wavelet representation
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1989 · 20,882 citations
Wavelets and filter banks: theory and design
IEEE Transactions on Signal Processing · 1992 · 1,685 citations
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing · 1993 · 9,047 citations
Singularity detection and processing with wavelets
IEEE Transactions on Information Theory · 1992 · 3,854 citations
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