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Synopsis
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.
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À propos de l?auteur
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.
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
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Data-Driven Design of Fault Diagnosis Systems (Paperback)
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Paperback. Etat : new. Paperback. 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 ecient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, dierent 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. The main objective of Adel Haghani Abandan Sari is to study ecient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783658058067
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
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Data-Driven Design of Fault Diagnosis Systems
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783658058067
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Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
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Data-Driven Design of Fault Diagnosis Systems
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