Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes

Haghani Abandan Sari, Adel

ISBN 10: 3658058064 / ISBN 13: 9783658058067

Editore: Springer Vieweg, 2014

Riguardo questo articolo

Codice articolo ABLIING23Mar3113020243780

Dati bibliografici

• Titolo: Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes
• Editore: Springer Vieweg
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3658058064
• ISBN 13: 9783658058067
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.