Electromagnetic analysis and condition monitoring of synchronous generators /

"The synchronous generator or alternator is an electrical machine which converts the mechanical power from a prime mover into an AC electrical power at a particular voltage and frequency. The synchronous motor always runs at the constant speed called synchronous speed. The generator works on th...

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Bibliographic Details
Main Authors: Ehya, Hossein (Author), Faiz, Jawad (Author)
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]
Series:IEEE Press series on power and energy systems ; 121
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Author Biographies
  • Preface
  • Chapter 1 Introduction
  • 1.1. Introduction to Condition Monitoring of Electric Machines
  • 1.2. Importance of Synchronous Generators
  • 1.3. Economic Aspects and Advantages
  • 1.4. Intention of the Book
  • Chapter 2 Operation Principles, Structure, and Design of Synchronous Generators
  • 2.1. Introduction
  • 2.3. Types and Constructions of Synchronous Machines
  • 2.4. Voltage Equation and Rated Power of the Synchronous Generator
  • 2.5. Synchronous Generator Model Parameters
  • 2.6. Different Operating Modes of Synchronous Machines
  • 2.7. Damper Bars in Synchronous Generators
  • 2.8. Losses and Efficiency in Synchronous Generators
  • 2.9. High-Voltage Synchronous Generators
  • 2.10. Preliminary Design Considerations
  • 2.11. Stator Design Considerations
  • 2.12. Summary
  • Chapter 3 Transformed Models and Parameter Identification of Synchronous Generators
  • 3.1. Introduction
  • 3.2. Multi-Phase Synchronous Generator Modeling Based on Park Equations
  • 3.4. Parameter Estimation Algorithms
  • 3.5. Parameter Accuracy Increments by Considering Saturation
  • 3.6. Fault Detection Based on Parameter Deviation
  • 3.7. Summary
  • Chapter 4 Introduction to Different Types of Faults in Synchronous Generators
  • 4.1. Reasons for Condition Monitoring of Synchronous Generators
  • 4.2. Different Faults in Synchronous Generators
  • 4.3. Main Factors Leading to Electrical Machine Damage
  • 4.4. Major Destruction Factors of Stator Winding
  • 4.5. Common Faults in Stator Winding
  • 4.6. Rotor Field Winding Fault
  • 4.7. Eccentricity Faults
  • 4.8. Misalignment Faults
  • 4.9. Damper Winding Fault
  • 4.10. Summary
  • Chapter 5 Laboratory Scale Implementation
  • 5.1. Introduction
  • 5.2. Salient Pole Synchronous Generator
  • 5.3. Induction Motor
  • 5.4. Gearbox
  • 5.5. Converter
  • 5.6. Rotor Magnetization Unit
  • 5.7. DC Power Supply
  • 5.8. Local Passive Load
  • 5.9. Sensors
  • 5.10. Data Acquisition
  • 5.11. Fault Implementation
  • 5.12. Noise Considerations
  • 5.13. Summary
  • Chapter 6. Analytical Modeling Based on Wave and Permeance Method
  • 6.1. Introduction
  • 6.2. Eccentricity Fault Definition
  • 6.3. The Air Gap Magnetic Field
  • 6.4. The Electromotive Force in Stator Terminals
  • 6.5. The Stator Current
  • 6.6. Force Density and Unbalanced Magnetic Pull
  • 6.7. Stator Slotting Effects
  • 6.8. Magnetic Saturation Effects
  • 6.9. The Mixed Eccentricity Fault
  • 6.10. The Air Gap Magnetic Field
  • 6.11. Induced Electromotive Force in Stator Terminals
  • 6.12. Force Density and Unbalanced Magnetic Pull
  • 6.13. Short Circuit Modeling
  • 6.14. Air Gap Permeance Under a Short Circuit Fault
  • 6.15. Force Density and Unbalanced Magnetic Pull under a Rotor Inter-turn Short Circuit Fault
  • 6.16.Summary
  • Chapter 7 Analytical Modeling Based on Winding Function Methods
  • 7.1. Introduction
  • 7.2. History and Usage of the WFM
  • 7.3. Winding Function Modeling of a Synchronous Generator
  • 7.4. Mutual Inductance Calculation Between the Stator Phases
  • 7.5. The Mutual Inductance Between the Stator and Rotor
  • 7.6. The Self Inductance of the Rotor
  • 7.7. Derivative Forms of Synchronous Generator Inductances
  • 7.8. A Practical Case study
  • 7.9. Healthy Case Simulation
  • 7.10. Faulty Case Simulation
  • 7.11. Algorithm for Determination of the Magnetic Saturation Factor
  • 7.12. Eccentricity Fault Modeling Considering Magnetic Saturation Under Load Variations
  • 7.13. Dynamic Modeling under an Eccentricity Fault
  • 7.14. Summary
  • Chapter 8. Finite Element Modeling of a Synchronous Generator
  • 8.1. Introduction
  • 8.2. Electromagnetic Field Computation
  • 8.3. Eddy Current and Core Loss Considerations
  • 8.4. Material Modeling
  • 8.5. Band Object, Motion Setup, and Boundary Conditions
  • 8.6. Mesh Consideration
  • 8.7. Time Steps and Simulation Run Time
  • 8.8. Transient and Steady-State Modeling
  • 8.9. No-Load and On-Load Modeling
  • 8.10. 2D and 3D FEM
  • 8.11. 3D-FE Equations of the Synchronous Generator
  • 8.12. Modeling of the Stator and Rotor Windings of the Generator and Its Load
  • 8.13. Air Gap Magnetic Field Measurements
  • 8.14. Stray Flux Measurements
  • 8.15. Eccentricity Fault Modeling
  • 8.16. Stator and Rotor Short Circuit Fault
  • 8.17. Broken Damper Bar Modeling
  • 8.18. Summary
  • Chapter 9 Thermal Analysis of Synchronous Generators
  • 9.1. Introduction
  • 9.2. Overview of Thermal Modeling and Analysis
  • 9.3. Thermal Modeling and Analyzing Synchronous Generators
  • 9.4. Modeling and Analysis of Faulty Synchronous Generators
  • 9.5. Summary
  • Chapter 10 Signal Processing
  • 10.1. Introduction 2
  • 10.2. Signals
  • 10.3. Fast Fourier Transform
  • 10.4. Fast Fourier Transform with an Adjusted Sampling Frequency
  • 10.5. Short-Time Fourier Transform
  • 10.6. Continuous Wavelet Transform
  • 10.7. Discrete Wavelet Transform
  • 10.7.1. Wavelet Energies
  • 10.7.2. Wavelet Entropy
  • 10.8. Hilbert-Huang Transform
  • 10.9. Time Series Data Mining
  • 10.10. Spectral Kurtosis and Kurtogram
  • 10.11. Noise
  • 10.12. Summary
  • Chapter 11 Electromagnetic Signature Analysis of Electrical Faults
  • 11.1. Introduction
  • 11.2. General Introduction to Short Circuit Fault Detection Methods in Synchronous Machines
  • 11.3. Stator Short Circuit Fault Types
  • 11.4. Synchronous Generator Stator Fault Effects
  • 11.5. Fault Diagnosis Methods in the Stator Winding
  • 11.6. Stator Short Circuit Fault Detection of Brushless Synchronous Machines
  • 11.7. Stator Short Circuit Fault Detection of Powerformers
  • 11.8. Stator Short Circuit Fault Detection of Turbo-generators
  • 11.9. Inter-turn Short Circuit Fault in Rotor Field Winding
  • 11.10 Summary
  • Chapter 12 Electromagnetic Signature Analysis of Mechanical Faults
  • 12.1. Introduction
  • 12.2. Eccentricity Faults
  • 12.3. Stator Core Fault
  • 12.4. Broken Damper Bar Fault
  • 12.5. Summary
  • Chapter 13 Vibration Monitoring
  • 13.1. Introduction
  • 13.2. Condition Monitoring Using Vibration
  • 13.3. Vibration in Salient-Pole Synchronous Generators
  • 13.4. Introduction to Utilized Terms in Vibration Analysis
  • 13.5. Force and Vibration Analysis
  • 13.6. Summary
  • Chapter 14 Application of Machine Learning in Fault Detection
  • 14.1. Introduction
  • 14.2. Supervised Learning
  • 14.3. Ensemble Learners
  • 14.4. Logistic Regression
  • 14.5. K-Nearest Neighbors
  • 14.6. Support Vector Machine
  • 14.7. Decision Tree Learning
  • 14.8. Random Forest 12
  • 14.9. Boosted Trees
  • 14.10. Gradient Boost Decision Trees
  • 14.11. Artificial Neural Network
  • 14.12. Other Artificial Neural Networks
  • 14.13. Real Case Application
  • 14.14. Summary
  • Chapter 15 Insulation Defect Monitoring
  • 15.1. Introduction
  • 15.2. History and Advantages of Using Partial Discharge Techniques
  • 15.3. Electrical Machine Fault Generation Factors
  • 15.4. Rotating Machine Insulation System
  • 15.5 PD Types in Rotating Machines
  • 15.6. Risk Assessment of Different Partial Discharge Faults
  • 15.7. Frequency Characteristics of Current Pulses
  • 15.8. Measurement of PD Signals
  • 15.9. Online Measurements of PD in Rotating Electrical Machines
  • 15.10. Summary
  • Chapter 16 Noise Rejection Methods and Data Interpretation
  • 16.1. Introduction
  • 16.2. Noise Rejection in Online Measurement
  • 16.3. Noise Sources in Generators
  • 16.4. Different Methods for Denoising
  • 16.5. Data Interpretation
  • 16.6. Separating PD sources
  • 16.7. Summary
  • References.