Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques.

Table des matières

1. Introduction.- 2. Model-based Fault Diagnosis Techniques.- 3. System Identification for Fault Diagnosis.- 4. Residual Generation, Fault Diagnosis and Identification.- 5. Fault Diagnosis Application Studies.- 6. Concluding Remarks.- References.

Résumé

Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques.

Détails du produit

• Auteurs: C. Fantuzzi, Cesar Fantuzzi, Cesare Fantuzzi, R. J. Patton, Ron J Patton, Ron J. Patton, S. Simani, Silvi Simani, Silvio Simani
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 02.12.2002
• EAN: 9781852336851
• ISBN: 978-1-85233-685-1
• Pages: 282
• Poids: 596 g
• Illustrations: XV, 282 p.
• Thèmes: Advances in Industrial Control; Advances in Industrial Control
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Electronique, électrotechnique, technique de l'information; C, Vibration, engineering, Civil Engineering, Dynamics, quality control, Control and Systems Theory, Industrial and Production Engineering, Mechanical Engineering, reliability, Electronics, Microelectronics, Electronics and Microelectronics, Instrumentation, Mechanics of solids, Dynamical systems, Control engineering, Industrial safety, Quality Control, Reliability, Safety and Risk, Reliability engineering, Electronics engineering, Vibration, Dynamical Systems, Control