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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimen… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems.
Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers – mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more.
1. Quality-related Fault Detection and Diagnosis-A Technical Review and Summary
2. Fault diagnosis and failure prognosis in hydraulic systems
3. Canonical correlation analysis-based fault diagnosis method for dynamic processes
4. H-infinity fault estimation for linear discrete time-varying systems with random uncertainties
5. Intelligent Fault Diagnosis for Dynamic Systems via Extended State Observer and Soft Computing
6. Fault Detection and Fault Identification in Marine Current Turbines
7. Quadrotor Actuator Fault Diagnosis and Accommodation based on Nonlinear Adaptive State Observer
8. Defect Detection and Classification in Welding Using Deep Learning and Digital Radiography
9. Deep learning based fault diagnosis for rotationary machines
10. Fault diagnosis and failure prognosis of electrical machines and drives
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