Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (BOK)

Silvio Simani, Cesare Fantuzzi, R. J. Patton

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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.


Språk Engelsk Engelsk Utgitt 2002
Forfatter Cesare Fantuzzi, R. J. Patton, Silvio Simani Forlag
ISBN 9781852336851 Antall sider 300
Dimensjoner 15,6cm x 23,4cm x 1,7cm Vekt 597 gram
Leverandør Bertram Trading Ltd Emner og form Automatic control engineering

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