£145.09

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£145 today · all-time low £141 (Jul 2026) · usually £145

Springer Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Advances in Industrial Control)

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£145.25 £140.39 £141.45 £142.51 £143.57 £144.63 £145.69 25 July 2026 09 August 2026 24 August 2026 08 September 2026 24 September 2026
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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 November 2002
Listed Since
22 January 2007

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No barcode data available

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