Electric Machines Modeling Condition Monitoring and Fault Diagnosis

Electric Machines Modeling Condition Monitoring and Fault Diagnosis by CRC press. 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. In particular, the MCSA implementation method is presented in detail in the last chapters of the book.

The Contents of Electric Machines Modeling Condition Monitoring

• Introduction
• Faults in Induction and Synchronous Motors
• Design of rotating electrical machines
• 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
• Electromagnetics for Electrical Machines
• 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
• Electric Motors and Drives Fundamentals Types & Applications
• 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

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