Isbn: 9781849968959 - model-based fault diagnosis in dynamic systems using identification techniques (advances in industrial control) (12 resultados)

Condición: New. In English.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Condición: New. pp. 300.

Taschenbuch. Condición: Neu. Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques | Silvio Simani (u. a.) | Taschenbuch | Advances in Industrial Control | xv | Englisch | 2010 | Springer | EAN 9781849968959 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The reader will gain practical knowledge of how to apply the latest models and techniques in fault diagnosis to industrial systems&nbspApplication of the subject matter will reduce the risk of failure in safety-critical systemsSafe.…

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand pp. 300 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will sell because many industries use safety-critical systems or are dependent on their process being accurate and reliable for reasons of quality. This book presents the latest research from a well-known group in fault identification and diagnosis that will enable those industries to overcome faults more quickly and cheaply.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.…

Condición: New. PRINT ON DEMAND pp. 300.