• Comparison of different fourth order Hilbert fractal antennas for partial discharge measurement 

      Zahed, Abd Almonam; El-Hag, Ayman H.; Qaddoumi, Nasser; Hussein, Ramy; Shaban, Khaled B. ( 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 

      Hussein, Ramy; BashirShaban, Khaled; El-Hag, Ayman H. ( 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 

      Hussein, Ramy; Shaban, Khaled Bashir; El-Hag, Ayman H. ( 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 ...
    • Prediction of Transformer Furan Levels 

      Shaban, Khaled Bashir; El-Hag, Ayman H.; Benhmed, Kamel ( 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 

      Hussein, Ramy; Bashir Shaban, Khaled; El-Hag, Ayman H. ( 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 

      Hussein, Ramy; Shaban, Khaled Bashir; El-Hag, Ayman H. ( 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 ...