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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Name: Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Brand: Springer London Ltd
SKU: 9781852336851
Price: 933.79 RON
Availability: InStock

Autor: John D. Sutherland

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Legare: Copertă tare

Editura: Springer London Ltd

Disponibilitate: În depozitul extern

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933.79 lei

Safety in industrial process and production plants is a concern of rising importance but because the...

Informații despre carte

Autor

John D. Sutherland

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2002

Pagini

282

EAN

9781852336851

ISBN

1852336854

Enbook ID

04296754

Editura

Springer London Ltd

Greutate

576

Dimensiuni

166 x 243 x 22

Descriere completă

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.

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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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