Electrical Machines Diagnosis

Nonfiction, Science & Nature, Technology, Quality Control
Cover of the book Electrical Machines Diagnosis by , Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781118601754
Publisher: Wiley Publication: February 7, 2013
Imprint: Wiley-ISTE Language: English
Author:
ISBN: 9781118601754
Publisher: Wiley
Publication: February 7, 2013
Imprint: Wiley-ISTE
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Wiley

Cover of the book Mechanical Instability by
Cover of the book Chemistry and Technology of Emulsion Polymerisation by
Cover of the book Neuroanatomy and Neuroscience at a Glance by
Cover of the book Share This by
Cover of the book Polyurethanes by
Cover of the book NMR Spectroscopy by
Cover of the book Livable Communities for Aging Populations by
Cover of the book AIChE Equipment Testing Procedure - Trayed and Packed Columns by
Cover of the book Marine Algae Extracts, 2 Volume Set by
Cover of the book Family Legacy and Leadership by
Cover of the book Stem Cells in Craniofacial Development and Regeneration by
Cover of the book The Virtues of Captain America by
Cover of the book Veterinary Hematology and Clinical Chemistry by
Cover of the book Software Quality by
Cover of the book Partners in Play by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy