On-Line Condition Monitoring & Fault Diagnosing for Induction Machines

Induction machines either as motors or wind generators are the most commonly used in the industrial applications due to its prices, robust design and less maintenance. So, it is very important to keep this element running. In modern industry, the new trend is to focus on condition monitoring and fault detection systems. In this direction it is very important to have an efficient and reliable fault diagnosing system. The target of this book is to find a way to have on line reliable and efficient condition monitoring systems for turn-to-turn fault either in single phase and multi-phase faults. Stator current signals are used for the proposed condition monitoring systems due to their availability and sensitivity to electrical faults. Two on line artificial neural networks (ANN) fault diagnosing systems for turn-to turn faults are presented. First system is by using stator current values while the second is by using the ellipse trace parameters of two stator phase s currents. Also a novel modeling of Induction machines under faulty conditions is introduced in this book; this model was verified by experimental works.

Autorentext

Dr. Mahfouz born on year 1969, Egypt. He received B.Sc. and M.Sc. degrees at 1992 & 1996 respectively, Mansoura University. From 1996 till 2007 working as a manager at ABB company. In 2005 he received his Ph. D. in Electrical Engineering, Menoufiya University. From 2007 he is working as Prof. associated at Faculty of Engineering, Helwan University.