Parameter Estimation, Condition Monitoring and Diagnosis of Electrical Machines
Peter Vas
Parameter Estimation, Condition Monitoring and Diagnosis of Electrical Machines
Peter Vas
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.
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