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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) - Hardcover
Synopsis
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.
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About the Author
Peter Vas is at University of Aberdeen.
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- PublisherClarendon Press
- Publication date1993
- ISBN 10 0198593759
- ISBN 13 9780198593751
- BindingHardcover
- LanguageEnglish
- Number of pages378
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines: 27 (Monographs in Electrical and Electronic Engineering)
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering)
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines: 27 (Monographs in Electrical and Electronic Engineering)
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Hardcover)
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Oxford University Press, Oxford, 1993
ISBN 10: 0198593759
ISBN 13: 9780198593751
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Hardcover. Condition: new. Hardcover. Condition monitoring of electrical machines and drive systems is a vital factor in achieving efficient and profitable operation of a wide range of industrial processes. Similarly parameter estimation is important for the machine designer, and invaluable to the operator of modern drives implementing various types of controller. It is also necessary to know the machine parameters for a number of simulation purposes. The chapters of this volume cover recent trends and advances in these and other areas, including sections on the development of new real-time monitoring devices, vibroacoustic techniques, and the symptoms and possible causes of failure of d.c. and a.c. machines. The book offers a discussion of on-line and off-line parameter estimation of smooth-air-gap and salient-pole eletrical machines and their diagnosis and condition monitoring. It presents a unified and in-depth physical and mathematical analysis of the various parameter estimators and condition-monitoring methods. For this purpose, wherever possible, space phasor theory is utilized and the most recent and modern developments in the field incorporated. Offers a discussion of on-line and off-line parameter estimation of smooth-air-gap and salient-pole electrical machines and their diagnosis and condition monitoring. This book presents a physical and mathematical analysis of the various parameter estimators and condition-monitoring methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780198593751
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines
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Condition: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: verschmutzt, angestoßen. Innen: Seiten eingerissen. | Seiten: 384 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 1866272/3
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Hardcover)
Published by
Oxford University Press, Oxford, 1993
ISBN 10: 0198593759
ISBN 13: 9780198593751
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Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Condition monitoring of electrical machines and drive systems is a vital factor in achieving efficient and profitable operation of a wide range of industrial processes. Similarly parameter estimation is important for the machine designer, and invaluable to the operator of modern drives implementing various types of controller. It is also necessary to know the machine parameters for a number of simulation purposes. The chapters of this volume cover recent trends and advances in these and other areas, including sections on the development of new real-time monitoring devices, vibroacoustic techniques, and the symptoms and possible causes of failure of d.c. and a.c. machines. The book offers a discussion of on-line and off-line parameter estimation of smooth-air-gap and salient-pole eletrical machines and their diagnosis and condition monitoring. It presents a unified and in-depth physical and mathematical analysis of the various parameter estimators and condition-monitoring methods. For this purpose, wherever possible, space phasor theory is utilized and the most recent and modern developments in the field incorporated. Offers a discussion of on-line and off-line parameter estimation of smooth-air-gap and salient-pole electrical machines and their diagnosis and condition monitoring. This book presents a physical and mathematical analysis of the various parameter estimators and condition-monitoring methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198593751
Quantity: 1 available
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Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering, 27)
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