EAN: 9783658058067

DATA-DRIVEN DESIGN OF FAULT DIAGNOSIS SYSTEMS -...

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.

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