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Ahmed K. Abdelsalam
Researcher at Arab Academy for Science, Technology & Maritime Transport
Publications - 53
Citations - 1910
Ahmed K. Abdelsalam is an academic researcher from Arab Academy for Science, Technology & Maritime Transport. The author has contributed to research in topics: Maximum power point tracking & Photovoltaic system. The author has an hindex of 15, co-authored 50 publications receiving 1528 citations. Previous affiliations of Ahmed K. Abdelsalam include University of Strathclyde & Mehran University of Engineering and Technology.
Papers
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High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids
TL;DR: In this article, a design example is presented by experimental implementation of the proposed technique and practical results for the implemented setup at different irradiance levels are illustrated to validate the proposed scheme.
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Artificial neural network-based photovoltaic maximum power point tracking techniques: a survey
TL;DR: In this article, the authors present a detailed survey of ANN-based maximum power point tracking (MPPT) techniques for photovoltaic (PV) systems and compare them from several points of view, such as ANN structure, experimental verification and transient/steady-state performance.
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Improved performance low-cost incremental conductance PV MPPT technique
Nahla E. Zakzouk,Mohamed Atef Elsaharty,Ahmed K. Abdelsalam,Ahmed A. Helal,Barry W. Williams +4 more
TL;DR: In this article, an enhancement is introduced to the Inc.Cond algorithm in order to entirely eliminate the division calculations involved in its structure, thus, algorithm implementation complexity is minimised enabling the utilisation of low-cost microcontrollers to cut down system cost.
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Induction motor broken rotor bar fault detection techniques based on fault signature analysis – a review
TL;DR: A survey of existing broken rotor bar fault detection techniques with new classification based on fault signature is presented and classified based on loading level, number of broken bars, validation and signal processing.
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Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform
TL;DR: In this paper, a new technique is proposed for detecting the location of the broken rotor bar in the rotor, which relies on monitoring certain statistical parameters estimated from the analysis of the start-up stator current envelope.