Fault detection, supervision and safety of technical processes 2006 : a proceedings volume from the 6th IFAC symposium, SAFEPROCESS 2006, Beijing, P.R. China, August 30 - September 1, 2006 / edited by Hong-Yue Zhang.

Format:

Book

Conference/Event

Contributor:

Zhang, Hong-Yue.

International Federation of Automatic Control.

Conference Name:

IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes (6th : 2006 : Beijing, China)

Series:

IPV - IFAC Proceedings Volume

Language:

English

Subjects (All):

Fault location (Engineering)--Congresses.

Fault location (Engineering).

Automatic control--Congresses.

Automatic control.

Physical Description:

1 online resource (1548 p.)

Edition:

1st ed.

Place of Publication:

Oxford : published for the International Federation of Automatic Control by Elsevier, 2007.

Language Note:

English

Summary:

The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection

Contents:

Front Cover; Fault Detection, Supervision and Safety of Technical Processes 2006; Copyright Page; Contents; Part I: Plenary Session; Chapter 1. Fault Diagnosis of Networked Control Systems; Chapter 2. Fault-tolerance as a Key Requirement for the Control of Modem Systems; Chapter 3. Statistical Signal Processing Approaches to Fault Detection; Part II: Nonlinear Systems; Chapter 4. The Nonlinear Output Frequency Response Function and its Application to Fault Detection; Chapter 5. Fault Diagnosis of a Class of Singular Nonlinear Systems

Chapter 6. An Algebraic Method for Nonlinear System DecompositionChapter 7. A Realization Approach for Residual Expressions; Chapter 8. Fault Estimation for Nonlinear Descriptor Systems with Lipschitz Constraints via LMI Approach; Chapter 9. An Improved Invariance-like Theorem; Part III: Neural Networks; Chapter 10. Two Neural Net-learning Methods for Model Based Fault Detection; Chapter 11. Component Fault Diagnosis using Wavelet Neural Networks with Local Recurrent Structure; Chapter 12. Fault Detection in Catalytic Cracking Converter by Means of Probability Density Approximation

Chapter 13. Increasing Effectiveness of Model-based Fault Diagnosis: A Dynamic Bayesian Network Design for Decision MakingPart IV: Principal Component Analysis; Chapter 14. Nonlinear PCA for Process Monitoring using the Local Approach; Chapter 15. Improved Model Predictive Control using PCA; Chapter 16. Multivariate Statistical Process Monitoring using Multi-scale Kernel Principal Component Analysis; Chapter 17. Influence of Scaling and Unfolding in PCA Based Monitoring of Nutrient Removing Batch Process; Chapter 18. Nonlinear Multiscale Fault Detection and Identification

Part V: Fault Tolerant Control of Network SystemsChapter 19. Reconfiguration in Networked Control Systems: Fault Tolerant Control and Plug-and-play; Chapter 20. Set-points Reconfiguration in Networked Dynamical Systems; Chapter 21. Decentralized and Autonomous Design for FDI/FTC of Networked Control Systems; Chapter 22. Fault Tolerant Hybrid MPC Applied on Sewer Networks; Chapter 23. Coordinated Diagnosis of Nondeterministic Automata Networks; Chapter 24. Minimising False Alarms Caused by Communication Delays in Networked Systems; Part VI: Flight Control Systems

Chapter 25. Modelling of Vertical Gyroscopes with Consideration of FaultsChapter 26. Modelling of Rate Gyroscopes with Consideration of Faults; Chapter 27. Advantages of using μ-synthesis for Fault-tolerant Flight Control System; Chapter 28. Application of Fault Diagnosis Methodologies to a General Aviation Aircraft; Chapter 29. Differential Flatness and Fault Detection in Flight Guidance Dynamics; Part VII: Nonlinear Observers; Chapter 30. The Observer Design for Nonlinear System with both Input and Output Unknown Disturbances

Chapter 31. An LMI Approach to Designing Observers and Unknown Input Observers for Nonlinear Systems

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

1-282-38136-9

9786612381362

0-08-055539-X

OCLC:

609853522