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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani
Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani
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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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Description

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.
Release date NZ
October 21st, 2010
Audience
  • Professional & Vocational
Edition
Softcover reprint of hardcover 1st ed. 2002
Illustrations
XV, 282 p.
Pages
282
Dimensions
156x234x15
ISBN-13
9781849968959
Product ID
8961721

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