Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 419 p.
  • 言語 ENG
  • 商品コード 9780128224731
  • DDC分類 620.00452

Full Description

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.

Contents

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