Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems
Editat de Hamid Reza Karimien Limba Engleză Paperback – 14 iun 2021
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.
- Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications
- Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more
- Gives numerical and simulation results in each chapter to reflect engineering practices
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Specificații
ISBN-13: 9780128224731
ISBN-10: 0128224738
Pagini: 419
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.56 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128224738
Pagini: 419
Dimensiuni: 152 x 229 x 30 mm
Greutate: 0.56 kg
Editura: ELSEVIER SCIENCE
Cuprins
Section A: Fault diagnosis development
1. Model-based fault detection and isolation for dynamical systems
2. Fault-tolerant control for dynamical systems
3. Data-driven techniques in fault diagnosis
4. Soft computing methods for fault detection and isolation
Section B: Failure prognosis analysis
5. Model-Based failure prognosis techniques
6. Data-driven based reliability modeling and identification for failure prognosis
7. Intelligent decisions techniques for failure prognosis
8. Design optimization using reliability and maintenance Techniques
Section C: Case studies
9. Fault diagnosis and failure prognosis in mechanical systems
10. Fault diagnosis and failure prognosis in electrical systems
11. Fault diagnosis and failure prognosis in hydraulic systems
12. Fault diagnosis and failure prognosis in biomedical systems
1. Model-based fault detection and isolation for dynamical systems
2. Fault-tolerant control for dynamical systems
3. Data-driven techniques in fault diagnosis
4. Soft computing methods for fault detection and isolation
Section B: Failure prognosis analysis
5. Model-Based failure prognosis techniques
6. Data-driven based reliability modeling and identification for failure prognosis
7. Intelligent decisions techniques for failure prognosis
8. Design optimization using reliability and maintenance Techniques
Section C: Case studies
9. Fault diagnosis and failure prognosis in mechanical systems
10. Fault diagnosis and failure prognosis in electrical systems
11. Fault diagnosis and failure prognosis in hydraulic systems
12. Fault diagnosis and failure prognosis in biomedical systems