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