Monitoring and diagnosis of electrical machine faults is a
scientific and economic issue which is motivated by objectives for
reliability and serviceability in electrical drives.
This book provides a survey of the techniques used to detect the
faults occurring in electrical drives: electrical, thermal and
mechanical faults of the electrical machine, faults of the static
converter and faults of the energy storage unit.
Diagnosis of faults occurring in electrical drives is an essential
part of a global monitoring system used to improve reliability and
serviceability. This diagnosis is performed with a large variety of
techniques: parameter estimation, state observation, Kalman
filtering, spectral analysis, neural networks, fuzzy logic,
artificial intelligence, etc. Particular emphasis in this book is
put on the modeling of the electrical machine in faulty
situations.
Electrical Machines Diagnosis presents original results obtained
mainly by French researchers in different domains. It will be
useful as a guideline for the conception of more robust electrical
machines and indeed for engineers who have to monitor and maintain
electrical drives. As the monitoring and diagnosis of electrical
machines is still an open domain, this book will also be very
useful to researchers.
Über den Autor
Jean-Claude Trigeassou was Professor at ESIP, an engineering school at Poitiers University, from 1988 to 2006. His major research interests are in the method of moments with applications to identification and control and in the parameter estimation of continuous systems with application to the diagnosis of electrical machines. At present, he is associated with the activities of the IMS-LAPS at Bordeaux University and his research works deal with modeling, stability, identification and control of fractional order systems.
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