Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Silvio Simani, Cesare Fantuzzi, Ron J. Patton (Autoren)

Buch | Softcover

282 Seiten

2010 | Softcover reprint of hardcover 1st ed. 2002
Springer London Ltd (Verlag)
9781849968959 (ISBN)

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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.

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.

Erscheint lt. Verlag	21.10.2010
Reihe/Serie	Advances in Industrial Control
Zusatzinfo	XV, 282 p.
Verlagsort	England
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Technik ► Bauwesen
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Maschinenbau
ISBN-13	9781849968959 / 9781849968959
Zustand	Neuware