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Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerence noviembre 10, 2015

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Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerence

Verificar Estado

Isermann, Rolf (Autor)

Catálogo Mundial – WorldCat

Google Books

Supervision, health-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles, in order to improve reliability, availability, maintenance and life-time. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity.

This book gives an introduction into the field of fault detection, fault diagnosis and fault-tolerant systems with methods which have proven their performance in practical applications. It guides the reader in a structured tutorial style:

  • supervision methods, reliability, safety, system integrity and related terminology;
  • fault detection with signal-based methods for periodic and stochastic signals;
  • fault detection with process model-based methods like parameter estimation, state estimation, parity equations and principal component analysis;
  • fault diagnosis with classification and inference methods;
  • fault-tolerant systems with hardware and analytical redundancy;
  • many practical simulation examples and experimental results for processes like electrical motors, pumps, actuators, sensors and automotive components;
  • end-of-chapter exercises for self testing or for practice.

The book is dedicated to graduate students of electrical, mechanical, chemical engineering and computer science and for practising engineers.

Contenido:

1.Introduction

Part I. Fundamentals.

2. Supervision and fault management of processes – tasks and terminology.

3. Reliability, Availability and Maintainability (RAM).

4. Safety, Dependability and System Integrity.

Part II. Fault-Detection Methods.

5. Process Models and Fault Modeling.

6. Signal models.

7. Fault detection with limit checking.

8. Fault detection with signal models.

9. Fault detection with process-identification methods.

10. Fault detection with parity equations.

11. Fault detection with state observers and state estimation.

12. Fault detection of control loops.

13. Fault detection with Principal Component Analysis (PCA).

14. Comparison and combination of fault-detection methods.

Part III. Fault Diagnosis Methods.

15. Diagnosis procedures and problems.

16. Fault diagnosis with classification methods.

17. Fault diagnosis with inference methods.

Part IV. Fault-Tolerant Systems.

18. Fault-tolerant desing.

19. Fault-tolerant components and control.

Part V. Application Examples.

20. Fault detection and diagnosis of DC motor drives.

21. Fault detection and diagnosis of a centrifugal pump-pipe-system.

22. Fault detection and diagnosis of an automotive suspension and the tire pressures.

23. Appendix

Incluye bibliografía, apéndice, índice

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