Last edited by Bazshura
Saturday, July 25, 2020 | History

4 edition of Parameter estimation, condition monitoring, and diagnosis of electrical machines found in the catalog.

Parameter estimation, condition monitoring, and diagnosis of electrical machines

by Peter Vas

  • 146 Want to read
  • 26 Currently reading

Published by Clarendon Press, Oxford University Press in Oxford, New York .
Written in English

    Subjects:
  • Electric machinery -- Monitoring.,
  • Electric driving.

  • Edition Notes

    Includes bibliographical references and index.

    StatementPeter Vas.
    SeriesMonographs in electrical and electronic engineering ;, 27
    Classifications
    LC ClassificationsTK2313 .V37 1993
    The Physical Object
    Paginationxviii, 360 p. :
    Number of Pages360
    ID Numbers
    Open LibraryOL1713743M
    ISBN 100198593759
    LC Control Number92015938

    Guidance Notes on Equipment Condition Monitoring Techniques. is to provide a single ABS document containing information related to the subject and to be used as a resource (supplement) for choosing appropriate condition monitoring techniques where referred to inAppendix 7A of the ABS. Rules for Survey After Construction (Part 7) or the ABS. Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) Books by Peter Vas Grid View Tile View.

    Energies, an international, peer-reviewed Open Access journal. Dear Colleagues, Condition monitoring and diagnosis of electrical machines is a crucial industrial task These are indispensable for the safe and reliable working of the electromechanical systems, moreover of those of safety-critical importance (used in energy power generation, transportation, medical . Condition monitoring of rotating electrical machinery has received intense research interest for more than 30 years. However, electrical machinery has been considered reliable and the application of fast-acting digital electrical protection has rather reduced the attention operators pay to the equipment. The area based upon current literature and the author's experience is Cited by:

    The general theory of alternating current machines: application to practical problems. Bernard Adkins, Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines Peter Vas No preview available - Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) Peter Vas Published by OUP Oxford ().


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Parameter estimation, condition monitoring, and diagnosis of electrical machines by Peter Vas Download PDF EPUB FB2

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 by: 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/5. 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. 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 : Peter Vas.

Find helpful customer reviews and review ratings for Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) at Read honest and unbiased product reviews from our users.5/5.

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 : Vas, Peter. 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.

- Buy Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) book online at best prices in India on Read Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) book reviews & 5/5(1).

Condition Monitoring of Electrical Machines. where the analysis of the bearing condition and its diagnosis are performed locally by embedded sensor, which.

Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) by Peter Vas and a great selection of related books, art and collectibles available now atEnglish, Book, Illustrated edition: Parameter estimation, condition monitoring, and diagnosis of electrical machines / Peter Vas.

Parameter estimation based on block-pulse function series is used to estimate the continuous-time model of the motor. The electromechanical parameters of the motor can be. Parameter estimation, condition monitoring, and diagnosis of electrical machines / Peter Vas Clarendon Press ; Oxford University Press Oxford: New York Wikipedia Citation Please see Wikipedia's template documentation for further citation fields that may be required.

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 Author: Vas, Peter. 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.

Find Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines by Vas at over 30 bookstores. Buy, rent or sell. 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.

Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines (Monographs in Electrical and Electronic Engineering) Peter Vas. Oxford University Press, USA. An accurate parameter estimation technique can also be used for motor condition monitoring purposes.

In this paper, a simple and reliable technique, based on parameter estimation methods, is introduced for rotor broken bar fault detection (Watson, The use of line current as a condition monitoring tool for three phase induction motors) [ 3 ].Cited by: 1.

(). Parameter estimation, condition monitoring and diagnosis of electrical machines. (). Recent developments of induction motor drives fault diagnosis using ai techniques.

(). Recognition of rotor eccentricity of induction motors based on the fourier spectra of phase currents. (). Sensorless fault diagnosis of induction : T.

Hui, Honghai Liu and David J. Brown.estimation Speed estimation in a vector-controlled drive Fuzzy-neural-network-based steady-state and transient analysis of induction machines condition monitoring, diagnosis, parameter estimation, harmonic analysis General Bearing fault monitoring in induction machines File Size: KB.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.