(pdf) Electric Machines Modeling Condition Monitoring and Fault Diagnosis

8.	Electric Machines Modeling Condition Monitoring and Fault Diagnosis
  • File Name: Electric Machines Modeling Condition Monitoring and Fault Diagnosis
  • File Type: PDF – Handbook
  • File Size: 13.3 MB

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.

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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