Designing Model-based Fault Estimator for a Separation Column
نویسندگان
چکیده
This paper considers a practical approach to model-based fault diagnostics. The fault estimation is performed by a delayed FIR lter that is designed as a noncausal Wiener lter. The approach is demonstrated using a case study of a process upset in a separation column in a petrochemical plant. The designed fault estimator demonstrates early and reliable detection of the fault. It presents a conclusive evidence of the fault more than 250 minutes earlier than the action the operator took during the upset based on direct sensory data.
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