Pub. Date:
Oxford University Press, USA
Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines

Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines

by Peter Vas


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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. The book is intended for academic and professional electrical engineers, and all those responsible for the performance, maintenance, and design of electrical machines and drive systems.

Product Details

ISBN-13: 9780198593751
Publisher: Oxford University Press, USA
Publication date: 04/01/1996
Series: Monographs in Electrical and Electronic Engineering Series , #27
Pages: 384
Product dimensions: 6.44(w) x 9.50(h) x 1.05(d)

Table of Contents

Glossary of Symbols
1. Introduction
2. Summary of Space Phasor Theory
3. On-Line Signal Processing of Space-Phasor Quantities
4. The Effects of Time Harmonics on Various Space Phasor Loci, Harmonic Amplitude Estimation
5. Monitoring of the Rotor Speed and the Rotor Angle
6. Monitoring Various Machine Parameters
7. Diagnosis, Condition Monitoring

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