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Author: G. Rigatos
Publisher:
ISBN: 9781032864518
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
In the monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed: Chapter 1 is on Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Chapter 2 is on Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine-turbine and synchronous-generator unit). Chapter 3 is on Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Chapter 4 is on Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit). Finally, Chapter 5 is on Fault diagnosis for wind power units and the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid).
Author: G. Rigatos
Publisher:
ISBN: 9781032864518
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
In the monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed: Chapter 1 is on Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Chapter 2 is on Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine-turbine and synchronous-generator unit). Chapter 3 is on Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Chapter 4 is on Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit). Finally, Chapter 5 is on Fault diagnosis for wind power units and the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid).
Author: G. Rigatos
Publisher:
ISBN: 9781032791906
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
The contents of the present monograph on Intelligent Control for Electric Power Systems and Electric Vehicles, are outlined as follows: Chapter 1 is on Nonlinear optimal control and Lie algebra-based control (Control based on approximate linearization and Global linearization-based control concepts). Chapter 2 is on Differential flatness theory and flatness-based control methods (Global linearization-based control with the use of differential flatness theory and Flatness-based control of nonlinear dynamical systems in cascading loops). Chapter 3 is on Control of DC and PMBLDC electric motors (Control of DC motors through a DC-DC converter and Control of Permanent Magnet Brushless DC motors). Chapter 4 is on Control of VSI-fed three-phase and multi-phase PMSMs (Nonlinear optimal control VSI-fed three-phase PMSMs and Nonlinear optimal control VSI-fed six-phase PMSMs). Chapter 5 is on Control of energy conversion chains based on PMSMs (Control of wind-turbine and PMSM-based electric power unit and Control of a PMSM-driven gas-compression unit).Chapter 6 is on Control of energy conversion chains based on InductionMachines (Control of the VSI-fed three-phase induction motor, Control of an induction motor-driven gas compressor and Control of induction generator-based shipboard microgrids). Chapter 7 is on Control of multi-phase machines in gas processing and power units (Control of gas-compressors actuated by 5-phase PMSMs and Control of 6-phase induction generators in renewable energy units). Chapter 8 is on Control of Spherical Permanent Magnet Synchronous Motors and Switched Reluctance Motors (Control of spherical permanent magnet synchronous motors, Control of switched reluctance motors for electric traction and Adaptive control for switched reluctance motors). Chapter 9 is on Control of traction and powertrains in Electric Vehicles and Hybrid Electric Vehicles (Control of multi-phase motors in the traction system in electric vehicles and Control of synchronous machines and converters in power-chains of hybrid electric vehicles). Chapter 10 is on Control of renewable power units and heat management units (Control of residential microgrids with Wind Generators, Fuel Cells and PVs and Control of heat pumps for thermal management in electric vehicles).
Author: Alejandra Santoyo-Sanchez
Publisher:
ISBN: 9789533070476
Category :
Languages : en
Pages :
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Book Description
Author: Ibrahim A. Farhat
Publisher:
ISBN: 9783330974197
Category :
Languages : en
Pages : 104
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Book Description
Author: Luis Frafan-Ramos
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 51
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Book Description
Automobiles depend more and more on electric power. Analysis of warranty data by automotive OEMs shows that faults in the automotive electrical power generation and storage (EPGS) system are often misdiagnosed. Therefore, monitoring of the state of health (SOH) of the automotive EPGS system is vital for early and correct diagnosis of faults in it, ensuring a reliable supply of electric power to the vehicle and reducing maintenance costs. In this research project, a model-based SOH monitoring method for the EPGS system is developed without the requirement of an alternator current sensor. A model representing the dynamic relationship between the battery current and the alternator filed duty voltage cycle is presented. An important model parameter that characterizes the current generation efficiency of the alternator system is adaptively estimated by using a recursive least square algorithm. Based on fault modes and effect analysis, a model-based fault detection and isolation decision scheme is developed for the EPGS system faults under consideration. The SOH monitoring method has been implemented using an EPGS system experimental test bench at GM R and D Center. Real-time evaluation results have shown its effectiveness and robustness.
Author: Irfan, Muhammad
Publisher: IGI Global
ISBN: 1522569901
Category : Technology & Engineering
Languages : en
Pages : 326
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Book Description
The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.
Author: Gerasimos Rigatos
Publisher:
ISBN: 9781032864709
Category : Science
Languages : en
Pages : 0
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Book Description
The contents of the first monograph on Intelligent Control for Electric Power Systems and Electric Vehicles, are outlined as follows: Chapter 1 is on Nonlinear optimal control and Lie algebra-based control (Control based on approximate linearization and Global linearization-based control concepts). Chapter 2 is on Differential flatness theory and flatness-based control methods (Global linearization-based control with the use of differential flatness theory and Flatness-based control of nonlinear dynamical systems in cascading loops). Chapter 3 is on Control of DC and PMBLDC electric motors (Control of DC motors through a DC-DC converter and Control of Permanent Magnet Brushless DC motors). Chapter 4 is on Control of VSI-fed three-phase and multi-phase PMSMs (Nonlinear optimal control VSI-fed three-phase PMSMs and Nonlinear optimal control VSI-fed six-phase PMSMs). Chapter 5 is on Control of energy conversion chains based on PMSMs (Control of wind-turbine and PMSM-based electric power unit and Control of a PMSM-driven gas-compression unit).Chapter 6 is on Control of energy conversion chains based on InductionMachines (Control of the VSI-fed three-phase induction motor, Control of an induction motor-driven gas compressor and Control of induction generator-based shipboard microgrids). Chapter 7 is on Control of multi-phase machines in gas processing and power units (Control of gas-compressors actuated by 5-phase PMSMs and Control of 6-phase induction generators in renewable energy units). Chapter 8 is on Control of Spherical Permanent Magnet Synchronous Motors and Switched Reluctance Motors (Control of spherical permanent magnet synchronous motors, Control of switched reluctance motors for electric traction and Adaptive control for switched reluctance motors). Chapter 9 is on Control of traction and powertrains in Electric Vehicles and Hybrid Electric Vehicles (Control of multi-phase motors in the traction system in electric vehicles and Control of synchronous machines and converters in power-chains of hybrid electric vehicles). Chapter 10 is on Control of renewable power units and heat management units (Control of residential microgrids with Wind Generators, Fuel Cells and PVs and Control of heat pumps for thermal management in electric vehicles). In the second monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed: Chapter 1 is on Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Chapter 2 is on Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine-turbine and synchronous-generator unit). Chapter 3 is on Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Chapter 4 is on Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit). Finally, Chapter 5 is on Fault diagnosis for wind power units and the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid).
Author: Hithesh Sanjiva Uliyar
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 69
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Book Description
Author: Alhelou, Hassan Haes
Publisher: IGI Global
ISBN: 152258031X
Category : Technology & Engineering
Languages : en
Pages : 489
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Book Description
Because society depends greatly on electric energy, power system control and protection focuses on ensuring a secure and reliable supply of power. To operate the electric systems in safe mode, the power system component should be equipped with intelligent controllers. The Handbook of Research on Smart Power System Operation and Control is a collection of innovative research on the theoretical and practical developments in smart power system operation and control that takes into account both smart grid and micro-grid systems. While highlighting topics including cybersecurity, smart grid, and wide area monitoring, this book is ideally designed for researchers, students, and industry professionals.
Author: Hamid A. Toliyat
Publisher: CRC Press
ISBN: 1420006282
Category : Technology & Engineering
Languages : en
Pages : 272
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Book Description
With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical Application Written by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles. Fault Modeling, Diagnosis, and Implementation in One Volume Based on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.
