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Sinopsis
In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Adel Haghani Abandan Sari is research assistant with Institute of Automation, university of Rostock. His research interests include data-driven process monitoring and fault-tolerant control with focus on large-scale industrial processes.
De la contraportada
In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes.
The main objective of Adel Haghani Abandan Sari is to study e?cient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, di?erent methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.
Contents
- Process monitoring
- Fault diagnosis and fault-tolerant control
- Data-driven approaches and decision making
Target Groups
- Graduate students and scientists of automatic control and process engineering
- Engineers in field of process control and monitoring, mechatronic
About the Author
Adel Haghani Abandan Sari is research assistant with Institute of Automation, university of Rostock. His research interests include data-driven process monitoring and fault-tolerant control with focus on large-scale industrial processes."Sobre este título" puede pertenecer a otra edición de este libro.
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Data-Driven Design of Fault Diagnosis Systems
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Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658058064
ISBN 13: 9783658058067
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Publication in the field of technical sciencesIn many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increase. Nº de ref. del artículo: 5123136
Cantidad disponible: Más de 20 disponibles
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Data-Driven Design of Fault Diagnosis Systems
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Springer Fachmedien Wiesbaden Mai 2014, 2014
ISBN 10: 3658058064
ISBN 13: 9783658058067
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study e cient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, di erent methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements. 156 pp. Englisch. Nº de ref. del artículo: 9783658058067
Cantidad disponible: 2 disponibles
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Data-Driven Design of Fault Diagnosis Systems : Nonlinear Multimode Processes
Publicado por
Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658058064
ISBN 13: 9783658058067
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study e cient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, di erent methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements. Nº de ref. del artículo: 9783658058067
Cantidad disponible: 1 disponibles
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
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Springer Vieweg 2014-05-06, 2014
ISBN 10: 3658058064
ISBN 13: 9783658058067
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Librería: Chiron Media, Wallingford, Reino Unido
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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9783658058067
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
Librería: California Books, Miami, FL, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: I-9783658058067
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Data-Driven Design of Fault Diagnosis Systems
Publicado por
Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Mai 2014, 2014
ISBN 10: 3658058064
ISBN 13: 9783658058067
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study e¿cient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, di¿erent methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 156 pp. Englisch. Nº de ref. del artículo: 9783658058067
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Data-Driven Design of Fault Diagnosis Systems
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. pp. 158. Nº de ref. del artículo: 26142310304
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Data-Driven Design of Fault Diagnosis Systems
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Condición: New. Print on Demand pp. 158 39 Illus. Nº de ref. del artículo: 135054463
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Data-Driven Design of Fault Diagnosis Systems
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND pp. 158. Nº de ref. del artículo: 18142310314
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