
Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines
Peter Vas(Author)
Clarendon Press
Published on 11. February 1993
Book
Hardback
378 pages
978-0-19-859375-1 (ISBN)
Description
Condition monitoring of electrical machines and drive systems is a vital factor to achieve efficient and profitable operation of a large variety of industrial processes. Similarly, parameter estimation is important for the machine designer, and invaluable to the operator of modern drives implementing various types of controllers. It is also necessary to know the machine parameters for a number of simulation purposes. The chapters in this volume cover recent trends and advances in these and other areas, including sections on on-line and off-line parameter estimation of smooth-air-gap and salient-pole electrical machines, their diagnosis and condition monitoring. New real-time monitoring devices, vibroacoustic techniques, and the symptoms and possible causes of failures of electrical machines are also discussed.
In the book a unified and in-depth physical and mathematical analysis of the various parameter estimators and condition monitoring methods is presented. For this purpose, where possible, space phasor theory is utilized and the most recent and modern developments in the field are incorporated.
In the book a unified and in-depth physical and mathematical analysis of the various parameter estimators and condition monitoring methods is presented. For this purpose, where possible, space phasor theory is utilized and the most recent and modern developments in the field are incorporated.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Oxford University Press
Target group
Professional and scholarly
Illustrations
numerous line drawings
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 27 mm
Weight
766 gr
ISBN-13
978-0-19-859375-1 (9780198593751)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Author
Professor of Electrical Engineering, Department of EngineeringProfessor of Electrical Engineering, Department of Engineering, University of Aberdeen
Content
Introduction; Summary of space phasor theory; On-line signal processing of space-phasor quantities; The effects of time harmonics on various space-phasor loci, harmonic amplitude estimation; Monitoring of the rotor speed and the rotor angle; Monitoring various machine parameters; Diagnosis, condition monitoring; Bibliography; Index.