Electromagnetic Analysis and Condition Monitoring of Synchronous Generators
Discover an insightful and complete overview of electromagnetic analysis and fault diagnosis in large synchronous generators
In Electromagnetic Analysis and Condition Monitoring of Synchronous Generators, a team of distinguished engineers delivers a comprehensive review of the electromagnetic analysis and fault diagnosis of synchronous generators. Beginning with an introduction to several types of synchronous machine structures, the authors move on to the most common faults found in synchronous generators and their impacts on performance.
The book includes coverage of different modeling tools, including the finite element method, winding function, and magnetic equivalent circuit, as well as various types of health monitoring systems focusing on the magnetic field, voltage, current, shaft flux, and vibration. Finally, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators covers signal processing tools that can help identify hidden patterns caused by faults and machine learning tools enabling automated condition monitoring.
The book also includes: * A thorough introduction to condition monitoring in electric machines and its importance to synchronous generators * Comprehensive explorations of the classification of synchronous generators, including armature arrangement, machine construction, and applications * Practical discussions of different types of electrical and mechanical faults in synchronous generators, including short circuit faults, eccentricity faults, misalignment, core-related faults, and broken damper bar faults * In-depth examinations of the modeling of healthy and faulty synchronous generators, including analytical and numerical methods
Perfect for engineers working in electrical machine analysis, maintenance, and fault detection, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators is also an indispensable resource for professors and students in electrical power engineering.
Hossein Ehya, PhD, is a Research Fellow in the Department of Electrical Power Engineering at the Norwegian University of Science and Technology (NTNU). He has been working on the health monitoring of electric machines since 2010. From 2013 to 2018, he also worked as an electrical machine design engineer who designed over 30 industrial electric machines. Dr. Ehya was the recipient of several innovation awards from NTNU and the Research Council of Norway. His current research activities include the development of an automated health monitoring system for electric aviation and renewable energies.
Jawad Faiz, PhD, is Professor at the School of Electrical and Computer Engineering at the University of Tehran, Iran, where his research interests are the design, modeling and fault diagnosis of electrical machines and transformers. He is a senior member of the IEEE, a Fellow of the Iran Academy of Sciences, and the member of Euro-Med Academy of Sciences and Arts. He has published more than 300 journal papers and presented about the same number of conference papers. He published two books by Springer and IET in the above-mentioned fields. Prof. Faiz was the recipient of several international and national awards for his research activities.
