Alhaytham Alqudsi

Alhaytham Alqudsi
  • Researcher at École de Technologie Supérieure

About

14
Publications
2,639
Reads
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161
Citations
Current institution
École de Technologie Supérieure
Current position
  • Researcher

Publications

Publications (14)
Article
Radio frequency (RF) power-matching circuits are used in many applications that require controllable and efficient power transfer for a variable load. They are commonly found in plasma chambers in the semiconductor manufacturing industries which deal with highly dynamic loading conditions. State-of-the-art technologies for the power-matching circui...
Article
Condition monitoring (CM) techniques in the form of electrical, chemical and physical tests are conducted to assess the ageing of transformers on the basis of its oil-paper insulation strength. A thorough examination of the transformer insulation condition can only be done through a complete set of CM standard tests. Some of the conducted tests are...
Article
This paper investigates the filler barrier effect on suppressing the erosion of silicone rubber composites during the DC dry-band arcing, by supplementing main micro fillers in silicon rubber, i.e. ground silica and micro-sized alumina tri-hydrate, with fumed silica and nano-sized alumina tri-hydrate fillers. A study framework employing simultaneou...
Article
Full-text available
This paper investigates the effect of ground and fumed silica fillers on suppressing DC erosion in silicone rubber. Fumed silica and ground silica fillers are incorporated in silicone rubber at different loading levels and comparatively analyzed in this study. Outcomes of the +DC inclined plane tracking erosion test indicate a better erosion perfor...
Article
This study investigates the role of filler interface on suppressing the erosion of room temperature vulcanized silicone rubber composites filled with fumed silica, nano alumina trihydrate and sub-micron hexagonal boron nitride fillers during DC dry-band arcing. Simultaneous thermogravimetric-differential thermal analyses indicate a superior effect...
Article
Full-text available
The presented paper aims to establish a strong basis for utilizing machine learning (ML) towards the prediction of the overall insulation health condition of medium voltage distribution transformers based on their oil test results. To validate the presented approach, the ML algorithms were tested on two databases of more than 1000 medium voltage tr...

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