DocumentCode
3419952
Title
Designing model-based fault estimator for a separation column
Author
Gorinevsky, Dimitry ; Mylaraswamy, Dinkar
Author_Institution
Honeywell Labs., Cupertino, CA, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
1765
Abstract
Considers a practical approach to model-based fault diagnostics. The fault estimation is performed by a delayed FIR filter that is designed as a noncausal Wiener filter. 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
Keywords
FIR filters; Wiener filters; fault diagnosis; nonlinear filters; petroleum industry; process control; state estimation; delayed FIR filter; model-based fault diagnostics; model-based fault estimator; noncausal Wiener filter; petrochemical plant; process upset; separation column; Delay estimation; Fault detection; Feeds; Finite impulse response filter; Laboratories; Manufacturing; Petrochemicals; Process control; Temperature control; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2001. Proceedings of the 2001
Conference_Location
Arlington, VA
ISSN
0743-1619
Print_ISBN
0-7803-6495-3
Type
conf
DOI
10.1109/ACC.2001.945987
Filename
945987
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