JOURNAL ARTICLE

Partial Discharge Denoising Method for Switchgear Based on CEEMD-Wavelet Threshold

Abstract

In the process of PD(Partial Discharge) signal denoising, wavelet threshold denoising and CEEMD (Complete Ensemble Empirical Mode Decomposition) denoising have problems of effective signal loss leading to waveform distortion and insufficient adaptability. A PD signal denoising method based on CEEMD-wavelet threshold is proposed. The denoising principle of the method is introduced in detail. The advantage of this method is that not only the noise in the PD pulse signal is effectively removed, but also the integrity of the effective PD signal is well preserved. According to the denoising effect of the simulated PD signal and the experimental PD signal, and the obvious advantages of the proposed method in terms of signal-to-noise ratio and amplitude error, the validity and reliability of the proposed method are verified.

Keywords:
Noise reduction SIGNAL (programming language) Wavelet Hilbert–Huang transform Distortion (music) Noise (video) Signal-to-noise ratio (imaging) Partial discharge Pattern recognition (psychology) Computer science Mathematics Artificial intelligence White noise Statistics Engineering Voltage Telecommunications Image (mathematics)

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.14
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

High voltage insulation and dielectric phenomena
Physical Sciences →  Materials Science →  Materials Chemistry
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Power Transformer Diagnostics and Insulation
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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