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Electromagnetic Analysis and Condition Monitoring of Synchronous Generators

IEEE Press Series on Power and Energy Systems 1. Aufl.

von: Hossein Ehya, Jawad Faiz
108,99 €
Verlag:	Wiley
Format:	PDF
Veröffentl.:	01.12.2022
ISBN/EAN:	9781119636137
Sprache:	englisch
Anzahl Seiten:	704

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Titelbeschreibung

Electromagnetic Analysis and Condition Monitoring of Synchronous Generators Discover an insightful and complete overview of electromagnetic analysis and fault diagnosis in large synchronous generators In Electromagnetic Analysis and Condition Monitoring of Synchronous Generators, a team of distinguished engineers delivers a comprehensive review of the electromagnetic analysis and fault diagnosis of synchronous generators. Beginning with an introduction to several types of synchronous machine structures, the authors move on to the most common faults found in synchronous generators and their impacts on performance. The book includes coverage of different modeling tools, including the finite element method, winding function, and magnetic equivalent circuit, as well as various types of health monitoring systems focusing on the magnetic field, voltage, current, shaft flux, and vibration. Finally, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators covers signal processing tools that can help identify hidden patterns caused by faults and machine learning tools enabling automated condition monitoring. The book also includes: <ul><li> A thorough introduction to condition monitoring in electric machines and its importance to synchronous generators</li> <li> Comprehensive explorations of the classification of synchronous generators, including armature arrangement, machine construction, and applications</li> <li> Practical discussions of different types of electrical and mechanical faults in synchronous generators, including short circuit faults, eccentricity faults, misalignment, core-related faults, and broken damper bar faults</li> <li> In-depth examinations of the modeling of healthy and faulty synchronous generators, including analytical and numerical methods</li></ul> Perfect for engineers working in electrical machine analysis, maintenance, and fault detection, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators is also an indispensable resource for professors and students in electrical power engineering.

Inhaltsverzeichnis

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

Autorenportrait

Hossein Ehya, PhD, is a Research Fellow in the Department of Electrical Power Engineering at the Norwegian University of Science and Technology (NTNU). He has been working on the health monitoring of electric machines since 2010. From 2013 to 2018, he also worked as an electrical machine design engineer who designed over 30 industrial electric machines. Dr. Ehya was the recipient of several innovation awards from NTNU and the Research Council of Norway. His current research activities include the development of an automated health monitoring system for electric aviation and renewable energies. Jawad Faiz, PhD, is Professor at the School of Electrical and Computer Engineering at the University of Tehran, Iran, where his research interests are the design, modeling and fault diagnosis of electrical machines and transformers. He is a senior member of the IEEE, a Fellow of the Iran Academy of Sciences, and the member of Euro-Med Academy of Sciences and Arts. He has published more than 300 journal papers and presented about the same number of conference papers. He published two books by Springer and IET in the above-mentioned fields. Prof. Faiz was the recipient of several international and national awards for his research activities.

Back cover copy

Discover an insightful and complete overview of electromagnetic analysis and fault diagnosis in large synchronous generators In Electromagnetic Analysis and Condition Monitoring of Synchronous Generators, a team of distinguished engineers delivers a comprehensive review of the electromagnetic analysis and fault diagnosis of synchronous generators. Beginning with an introduction to several types of synchronous machine structures, the authors move on to the most common faults found in synchronous generators and their impacts on performance. The book includes coverage of different modeling tools, including the finite element method, winding function, and magnetic equivalent circuit, as well as various types of health monitoring systems focusing on the magnetic field, voltage, current, shaft flux, and vibration. Finally, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators covers signal processing tools that can help identify hidden patterns caused by faults and machine learning tools enabling automated condition monitoring. The book also includes: <ul><li> A thorough introduction to condition monitoring in electric machines and its importance to synchronous generators</li> <li> Comprehensive explorations of the classification of synchronous generators, including armature arrangement, machine construction, and applications</li> <li> Practical discussions of different types of electrical and mechanical faults in synchronous generators, including short circuit faults, eccentricity faults, misalignment, core-related faults, and broken damper bar faults</li> <li> In-depth examinations of the modeling of healthy and faulty synchronous generators, including analytical and numerical methods</li></ul> Perfect for engineers working in electrical machine analysis, maintenance, and fault detection, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators is also an indispensable resource for professors and students in electrical power engineering.