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Generators Loss of Excitation and Phase Backup Protection using ANFIS
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Gewicht:
238 g
Format:
220x150x9 mm
Beschreibung:
Abdel Aziz, Mohamed
Dr. Mohamed Abdel Aziz received the BSc, MSc and PhD in Electrical Engineering from FECU and BU, Egypt, in 2008, 2011 and 2017 respectively. Now, he works as an electrical engineer in Dar Al-Handasah (Shair and Partners). M. A. Moustafa Hassan received the BSc, MSc and PhD from FECU, Egypt. Now he works as Full Professor at FECU.
Dr. Mohamed Abdel Aziz received the BSc, MSc and PhD in Electrical Engineering from FECU and BU, Egypt, in 2008, 2011 and 2017 respectively. Now, he works as an electrical engineer in Dar Al-Handasah (Shair and Partners). M. A. Moustafa Hassan received the BSc, MSc and PhD from FECU, Egypt. Now he works as Full Professor at FECU.
In this book, the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) for protection of electric generators is introduced. The ANFIS can be viewed as a fuzzy system, a neural network or fuzzy neural network. The objective of this research is to enhance the Loss of Excitation and Phase back-up protection functions. The need for improved generator protection is not only for safety concern, but also considered an economic issue. This is due to the time needed for replacement or maintenance for the faulty generator which will cause discontinuity problems for the served power systems. As such, to ensure continuity of service, the protective equipment serving the generators shall be analyzed and improved.