ELECTRIC MACHINES Modeling, Condition Monitoring, and Fault Diagnosis by Hamid A. Toliyat, Subhasis Nandi, Seungdeog Choi, Homayoun Meshgin-kelk

This book has 11 chapters in which electric machines and related topics are discussed.
 

Book Contents:

Introduction
Faults in Induction and Synchronous Motors
Modeling of Electric Machines Using Winding and Modified Winding Function Approaches
Modeling of Electric Machines Using Magnetic Equivalent Circuit Method
Analysis of Faulty Induction Motors Using Finite Element Method
Fault Diagnosis of Electric Machines Using Techniques Based on Frequency Domain
Fault Diagnosis of Electric Machines Using Model-Based Techniques
Application of Pattern Recognition to Fault Diagnosis
Implementation of Motor Current Signature Analysis Fault Diagnosis Based on Digital Signal Processors
Implementation of Fault Diagnosis in Hybrid Electric Vehicles Based on Reference Frame Theory
Robust Signal Processing Techniques for the Implementation of Motor Current Signature Analysis Diagnosis Based on Digital Signal Processors.

ELECTRIC MACHINES, ELECTRIC MACHINES Modeling, Condition Monitoring, and Fault Diagnosis by Hamid A. Toliyat

Download also Principle of Electrical Machines by VK Mehta PDF

This book was written to provide a full review of diagnosis technologies and as an application guide for graduate and senior undergraduate students in the power electronics discipline who want to research, develop, and implement a fault diagnosis and condition monitoring scheme for better safety and improved reliability in electric motor operation.

Furthermore, electrical and mechanical engineers in the industry are also encouraged to use portions of this book as a reference to understand the fundamentals of fault cause and effect and to fulfill successful implementation.

This book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and then practical application.

First, the analysis of the fundamentals of machine failure is presented through the winding functions method, the magnetic equivalent circuit method, and finite element analysis.

Second, the implementation of fault diagnosis is reviewed with techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and pattern recognition scheme.

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.

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