Journals Information
Universal Journal of Electrical and Electronic Engineering Vol. 10(3), pp. 43 - 50
DOI: 10.13189/ujeee.2023.100301
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Wavelet-PCA Based Denoising of Partial Discharge Signals
Ephraim T. Iorkyase *
Department of Electrical and Electronics Engineering, Joseph Sarwuan Tarkaa University, Nigeria
ABSTRACT
Partial Discharge measurements contain valuable information about the state of the insulation system that is useful for the diagnosis of electrical equipment. Signals that result from on-site PD measurement are often completely buried in noise. One critical task for PD analysis and diagnosis is the recovery of clean PD signals from heavily contaminated measurements. Removing noise from PD measurement remains a serious challenge because the majority of the noise encountered during on-site measurement has similar time and frequency characteristics to the desired PD signals. This paper presents a sophisticated technique for denoising PD measurement. More specifically, we propose to combine Wavelet Transform (WT) and Principal Component Analysis (PCA) to recover PD signals buried in excessive noise. The first phase is based on multi-resolution signal decomposition via wavelet. In the second phase, the coefficients that result from signal decomposition are filtered using PCA to retain the most informative signal characteristics of the measured PD signal. PCA automatically discards the uncorrelated noise that remains in the wavelet coefficients. An assessment of the proposed denoising technique is carried out, by processing experimental PD data. The results indicate that the proposed technique not only suppresses all kinds of noise present but also effectively preserves the features of the PD signals.
KEYWORDS
Noise, Partial Discharge, Principal Component Analysis, Wavelet Transform
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Ephraim T. Iorkyase , "Wavelet-PCA Based Denoising of Partial Discharge Signals," Universal Journal of Electrical and Electronic Engineering, Vol. 10, No. 3, pp. 43 - 50, 2023. DOI: 10.13189/ujeee.2023.100301.
(b). APA Format:
Ephraim T. Iorkyase (2023). Wavelet-PCA Based Denoising of Partial Discharge Signals. Universal Journal of Electrical and Electronic Engineering, 10(3), 43 - 50. DOI: 10.13189/ujeee.2023.100301.