Advanced methods for fault diagnosis and fault-tolerant control Steven X. Ding

Part I. Introduction, Basic Concepts and Preliminaries

1. Introduction

2. Basic Requirements on Fault Detection and Estimation

3. Basic Methods for Fault Detection and Estimation in Static Processes

4. Basic Methods for Fault Detection in Dynamic Processes

5. Feedback Control, Observer and Residual Generation

Part II. Fault Detection, Isolation and Estimation in Linear Dynamic Systems

6. General Solutions of Optimal Fault Detection

7. Fault Detection in Linear Time-Varying Systems

8. Fault Estimation in Linear Dynamic Systems

9. Detection and Isolation of Multiplicative Faults

Part III. Fault Detection in Nonlinear Dynamic Systems

10. Analysis and Design of Observer-Based Fault Detection Systems

11. Parameterisation of Observer-Based Fault Detection Systems

12. Optimal Fault Detection of a Class of Nonlinear Systems

Part IV. Statistical and Data-driven Fault Diagnosis Methods

13. A Critical Review of MVA-based Fault Detection Methods

14. Data-Driven Fault Detection in Large-Scale and Distributed Systems

15. Alternative Test Statistics and Fault Detection Schemes

Part V. Application of Randomised Algorithms to Assessment and Design of Fault Diagnosis Systems

16. Probabilistic Models and Randomised Algorithms

17. Assessment of Fault Detection Performance and Computation Algorithms

18. RA-based Design of Fault Detection Systems

Part VI. An Integrated Framework of Control and Diagnosis, and Fault-tolerant Control Schemes

19. Residual Centered Control and Detection

20. Performance Recovery and Fault-Tolerant Control Schemes

21. Performance-Based Fault-Tolerant Control and Performance Recovery

22. Data-Driven Fault-Tolerant Control Schemes