Application of Complex Wavelet Transform to Suppress White Noise in GIS UHF PD Signals

During online partial discharge (PD), ultra-high-frequency (UHF) detection of gas-insulated switchgear (GIS), obtaining acceptable levels of sensitivity, still continues to remain a very challenging task, primarily due to strong electromagnetic interference (including white-noise, random, discrete s...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2007-07, Vol.22 (3), p.1498-1504
Main Authors: Zhongrong, Xu, Ju, Tang, Caixin, Sun
Format: Article
Language:English
Subjects:
Applied sciences
Complex wavelet transform (CWT)
Connection and protection apparatus
Construction
Continuous wavelet transforms
denoising
Discharge
Discrete wavelet transforms
Electrical engineering. Electrical power engineering
Electromagnetic interference
Exact sciences and technology
Gas insulation
gas-insulated switchgear (GIS)
Geographic Information Systems
partial discharge (PD)
Partial discharges
Simulation
Spectra
Stands
Stochastic resonance
Switchgear
Testing. Reliability. Quality control
UHF
Wavelet transforms
White noise
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Summary:During online partial discharge (PD), ultra-high-frequency (UHF) detection of gas-insulated switchgear (GIS), obtaining acceptable levels of sensitivity, still continues to remain a very challenging task, primarily due to strong electromagnetic interference (including white-noise, random, discrete spectral, and stochastic pulses). As white-noise interference stands in the breach existing in GIS PD UHF detection inevitably, the available suppression methods are unsatisfactory. According to the feature of white noise, the Daubechie's complex wavelet is constructed. Through the simple information (SI) and combined information (CI) of the complex wavelet transform (CWT), the denoising method of simulation signals and field signals of PD UHF is studied by the authors. In view of the estimation parameters, the results manifest that white-noise in GIS PD UHF signals can be suppressed effectively by the SI and CI of the CWT.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2007.899767