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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Silvio Simani
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Description for Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Hardcover. 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. This book also includes sample case studies that are used to demonstrate the application of these techniques. Series: Advances in Industrial Control. Num Pages: 297 pages, 37 black & white tables, biography. BIC Classification: TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 166 x 22. Weight in Grams: 576.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Springer
Condition
New
Series
Advances in Industrial Control
Number of Pages
282
Place of Publication
England, United Kingdom
ISBN
9781852336851
SKU
V9781852336851
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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