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9780198593751

Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines

by
  • ISBN13:

    9780198593751

  • ISBN10:

    0198593759

  • Format: Hardcover
  • Copyright: 1993-03-18
  • Publisher: Clarendon Press

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Summary

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.

Table of Contents

Glossary of Symbols
Introductionp. 1
Summary of Space Phasor Theoryp. 4
Voltage equations of smooth-air-gap machines in the stationary and general reference framesp. 4
Voltage equations of salient-pole machinesp. 9
Instantaneous electromagnetic torquep. 14
Instantaneous power, active power, reactive powerp. 23
On-Line Signal Processing of Space-Phasor Quantitiesp. 31
Monitoring the voltage space-phasor, isolationp. 31
Monitoring the current space phasorp. 43
Monitoring the stator, rotor, and magnetizing flux linkage space phasor, analog and digital implementationsp. 57
Monitoring the instantaneous electromagnetic torquep. 80
The Effects of Time Harmonics on Various Space Phasor Loci, Harmonic Amplitude Estimationp. 102
Space phasor loci incorporating the effects of time harmonicsp. 102
Amplitudes of the time-harmonic componentsp. 108
Monitoring of the Rotor Speed and the Rotor Anglep. 121
The application of conventional techniques (tachometers, encoders, resolvers)p. 121
High-resolution rotor speed estimatorp. 129
Estimation of the rotor speed utilizing the monitored electromagnetic torquep. 131
Slip and rotor speed estimators utilizing monitored voltages and currentsp. 133
Slip frequency and rotor speed estimation by utilizing the rotor slot harmonicsp. 145
Stator frequency, rotor frequency and rotor speed estimation utilizing the axial leakage flux of an induction machinep. 156
Rotor speed and rotor angle estimation in inverter-fed synchronous machinesp. 157
Rotor position estimation in stepping and switched reluctance motors by monitoring of the stator currents (utilization of the variation of the stator inductances with the rotor angle)p. 172
Monitoring Various Machine Parametersp. 180
Conventional and related techniquesp. 180
On-line monitoring of various machine parametersp. 266
Estimation of the inertia of an a.c. machinep. 279
Application of Kalman filters for the parameter estimation of induction machinesp. 284
Stator flux decay test of an induction machinep. 292
Estimation of the parameters of an induction machine using d.c. ramp current and active and reactive power measurementsp. 293
Estimation of the inductance parameters of a three-phase slip-ring induction machine by using step-voltage d.c. testsp. 299
Standstill frequency response test of an induction machinep. 302
Diagnosis, Condition Monitoringp. 307
Non-invasive condition monitoringp. 307
Monitoring of the interturn faults of rotor windings of turbogeneratorsp. 323
Shaft voltages in turbogeneratorsp. 326
Detection of stator core imperfectionsp. 331
Vibroacoustic monitoring of electrical machinesp. 334
Application of artificial neural networks for fault detection in electrical machinesp. 341
Summary of failures of d.c. and a.c. machines, symptoms, possible causesp. 342
Appendix: Torque errorsp. 348
Indexp. 353
Table of Contents provided by Blackwell. All Rights Reserved.

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