Browsing by Author "El-Hag, Ayman H."
Now showing items 1-10 of 10
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Acoustic partial discharge signal denoising using power spectral subtraction
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Measuring partial discharge (PD) phenomena in power transformers is often conducted by acoustic emission (AE) method. However, many interference sources are usually encountered with the captured PD signals which negatively ... -
Comparison of different fourth order Hilbert fractal antennas for partial discharge measurement
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Three Hilbert fractal antenna designs are proposed in this work to capture and classify common types of partial discharge (PD) in an oil insulated system. Each antenna design shows unique characteristics in terms of resonant ... -
Denoising of acoustic partial discharge signals corrupted with random noise
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Power transformers are one of the most important and expensive electrical equipment that require online condition monitoring. Partial discharge (PD) measurement is considered the most effective and non-destructive approach ... -
Energy conservation-based thresholding for effective wavelet denoising of partial discharge signals
( Institution of Engineering and Technology , 2016 , Article)Recent studies have shown that wavelet transform can effectively be used for noise reduction in the context of partial discharge (PD) signal detection and classification. Several thresholding approaches for wavelet denoising ... -
Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)White noise is a major interference source that affects the partial discharge (PD) signal detection and recognition. Wavelet shrinkage denoising methods can efficiently reject the white noise embedded in the PD signal ... -
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ... -
Prediction of Transformer Furan Levels
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ... -
Robust detection of acoustic partial discharge signals in noisy environments
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ... -
Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Partial discharge (PD) can be used as an indicator of impending failure in electrical plant insulation making the accurate classification of particular occurrence patterns useful for anticipating forthcoming outages. In ... -
Wavelet Transform with Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Online condition assessment of the power system devices and apparatus is considered vital for robust operation, where partial discharge (PD) detection is employed as a diagnosis tool. PD measurements, however, are corrupted ...