Title Page
by Homayoun Meshgin-Kelk, Seungdeog Choi, Subhasis Nandi, Hamid A. Toliyat
Electric Machines
- Cover Page
- Title Page
- Copyright Page
- Contents
- Preface
- 1 Introduction
- 2 Faults in Induction and Synchronous Motors
- 3 Modeling of Electric Machines Using Winding and Modified Winding Function Approaches
- 4 Modeling of Electric Machines Using Magnetic Equivalent Circuit Method
- 4.1 Introduction
- 4.2 Indirect Application of Magnetic Equivalent Circuit for Analysis of Salient Pole Synchronous Machines
- 4.3 Indirect Application of Magnetic Equivalent Circuit for Analysis of Induction Machines
- 4.4 Direct Application of Magnetic Equivalent Circuit Considering Nonlinear Magnetic Characteristic for Machine Analysis
- Appendix A: Induction Machine Parameters
- Appendix B: Node Permeance Matrices
- References
- 5 Analysis of Faulty Induction Motors Using Finite Element Method
- 5.1 Introduction
- 5.2 Geometrical Modeling of Faulty Induction Motors Using Time-Stepping Finite Element Method (TSFEM)
- 5.3 Coupling of Electrical Circuits and Finite Element Area
- 5.4 Modeling Internal Faults Using Finite Element Method
- 5.5 Impact of Magnetic Saturation on Accurate Fault Detection in Induction Motors
- References
- 6 Fault Diagnosis of Electric Machines Using Techniques Based on Frequency Domain
- 6.1 Introduction
- 6.2 Some Definitions and Examples Related to Signal Processing
- 6.2.1 Continuous versus Discrete or Digital or Sampled Signal
- 6.2.2 Continuous, Discrete Fourier Transforms, and Nonparametric Power Spectrum Estimation
- 6.2.3 Parametric Power Spectrum estimation
- 6.2.4 Power Spectrum estimation Using Higher-Order Spectra (HOS)
- 6.2.5 Power Spectrum Estimation Using Swept Sine Measurements or Digital Frequency Locked Loop Technique (DFLL)
- 6.3 Diagnosis of Machine Faults Using Frequency-Domain-Based Techniques
- 6.3.1 Detection of Motor Bearing Faults
- 6.3.2 Detection of Stator Faults
- 6.3.2.1 Detection of Stator Faults Using External Flux Sensors
- 6.3.2.2 Detection of Stator Faults Using Line Current Harmonics
- 6.3.2.3 Detection of Stator Faults Using Terminal Voltage Harmonics at Switch-Off
- 6.3.2.4 Detection of Stator Faults Using Field Current and Rotor Search Coil Harmonics in Synchronous Machines
- 6.3.2.5 Detection of Stator Faults Using Rotor Current and Search Coil Voltages Harmonics in Wound Rotor Induction Machines
- 6.3.3 Detection of Rotor Faults
- 6.3.3.1 Detection of Rotor Faults in Stator Line Current, Speed, Torque, and Power
- 6.3.3.2 Detection of Rotor Faults in External and Internal Search Coil
- 6.3.3.3 Detection of Rotor Faults Using Terminal Voltage Harmonics at Switch-Off
- 6.3.3.4 Detection of Rotor Faults at Start-Up
- 6.3.3.5 Detection of Rotor Faults in Presence of Interbar Current Using Axial Vibration Signals
- 6.3.4 Detection of Eccentricity Faults
- 6.3.5 Detection of Faults in Inverter-Fed Induction Machines
- References
- 7 Fault Diagnosis of Electric Machines Using Model-Based Techniques
- 7.1 Introduction
- 7.2 Model of Healthy Three-Phase Squirrel-Cage Induction Motor
- 7.3 Model of Three-Phase Squirrel-Cage Induction Motor with Stator Inter-Turn Faults
- 7.4 Model of Squirrel-Cage Induction Motor with Incipient Broken Rotor Bar and End-Ring Faults
- 7.5 Model of Squirrel-Cage Induction Motor with Eccentricity Faults
- 7.6 Model of a Synchronous Reluctance Motor with Stator Fault
- 7.7 Model of a Salient Pole Synchronous Motor with Dynamic Eccentricity Faults
- References
- 8 Application of Pattern Recognition to Fault Diagnosis
- 9 Implementation of Motor Current Signature Analysis Fault Diagnosis Based on Digital Signal Processors
- 10 Electric Implementation of Fault Diagnosis in Hybrid Vehicles Based on Reference Frame Theory
- 11 Robust Signal Processing Techniques for the Implementation of Motor Current Signature Analysis Diagnosis Based on Digital Signal Processors
- Index
ELECTRIC
MACHINES
MODELING, CONDITION MONITORING, AND FAULT DIAGNOSIS
HAMID A. TOLIYAT
SUBHASIS NANDI
SEUNGDEOG CHOI
HOMAYOUN MESHGIN-KELK
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