Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

The book "Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems" offers a comprehensive analysis of the theories and methods for fault prediction, intelligent diagnosis, and health assessment of complex electromechanical systems. It is based on advanced approaches in artificial intelligence and machine learning, addressing key topics such as feature extraction, early fault prediction, fault classification, and wear condition assessment. The authors integrate theoretical concepts with practical applications in industry to provide readers with a smooth introduction to the field. This specialized book is a valuable resource for students, researchers, and professionals dealing with the reliability and maintenance of complex systems.