Articoli correlati a Artificial Neural Networks for the Modelling and Fault...
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes: 377 - Brossura
Sinossi
An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Modelling Issue in Fault Diagnosis.- Locally Recurrent Neural Networks.- Approximation Abilities of Locally Recurrent Networks.- Stability and Stabilization of Locally Recurrent Networks.- Optimum Experimental Design for Locally Recurrent Networks.- Decision Making in Fault Detection.- Industrial Applications.- Concluding Remarks and Further Research Directions.
Product Description
Book by Patan Krzysztof
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 75,43
EUR 17,23 per la spedizione da Canada a Italia
Destinazione, tempi e costi
Risultati della ricerca per Artificial Neural Networks for the Modelling and Fault...
Foto dell'editore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Editore:
Springer Berlin Heidelberg, 2008
ISBN 10: 3540798714
ISBN 13: 9783540798712
Antico o usato
Brossura
Da: Buchpark, Trebbin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 232 | Sprache: Englisch | Produktart: Bücher. Codice articolo 4428242/12
Quantità: 1 disponibili
Foto dell'editore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Da: Book Dispensary, Concord, ON, Canada
Valutazione del venditore 5 su 5 stelle
Soft cover. Condizione: New. BRAND NEW softcover. Book. Codice articolo 118778
Quantità: 1 disponibili
Immagini fornite dal venditore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Editore:
Springer Berlin Heidelberg, 2008
ISBN 10: 3540798714
ISBN 13: 9783540798712
Nuovo
Kartoniert / Broschiert
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates the properties of locally recurrent neural networks, developing training procedures for them and their application to the modelling and fault diagnosis of non-linear dynamic processes and plantsIncludes an Introduction to fault diagno. Codice articolo 4901352
Quantità: Più di 20 disponibili
Foto dell'editore
Patan:Artificial Neural Networks for th (eng)
Print on DemandDa: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 4 su 5 stelle
Condizione: new. Questo è un articolo print on demand. Codice articolo 0ea3467ca90c6d7e8f10bca812a50122
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Editore:
Springer Berlin Heidelberg Jun 2008, 2008
ISBN 10: 3540798714
ISBN 13: 9783540798712
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available. 232 pp. Englisch. Codice articolo 9783540798712
Quantità: 2 disponibili
Immagini fornite dal venditore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Editore:
Springer Berlin Heidelberg, 2008
ISBN 10: 3540798714
ISBN 13: 9783540798712
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available. Codice articolo 9783540798712
Quantità: 1 disponibili
Immagini fornite dal venditore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
ISBN 10: 3540798714
ISBN 13: 9783540798712
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. Codice articolo 9783540798712
Quantità: 2 disponibili
Foto dell'editore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (Lecture Notes in Control and Information Sciences, 377)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9783540798712_new
Quantità: Più di 20 disponibili
Foto dell'editore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (Lecture Notes in Control and Information Sciences, 377)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Mar3113020177374
Quantità: Più di 20 disponibili
Foto dell'editore
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes (Lecture Notes in Control and Information Sciences)
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA77335407987146
Quantità: 1 disponibili