Transactions of FAMENA, Vol. 46 No. 3, 2022.
Original scientific paper
https://doi.org/10.21278/TOF.463033721
An Immune Detector-Based Method for the Diagnosis of Compound Faults in a Petrochemical Plant
Longqiu Shao
; School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
Qinghua Zhang
; School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
Gaowei Lei
; School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
Naiquan Su
; School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
Penghui Yuan
; School of Automation, Guangdong University of Petrochemical Technology, Maoming, China
Abstract
Aiming at the serious overlap of traditional dimensionless indices in the diagnosis of compound faults in petrochemical plants, we use genetic programming to construct optimal indices for that purpose. In order to solve the problem of losing some useful fault feature information due to classification processing, during the generation of the dimensionless index immune detector, such as reduction and clustering, we propose an integrated diagnosis method using each dimensionless index immune detector. Simulation results show that this method has high diagnostic accuracy.
Keywords
petrochemical plant; dimensionless index; immune detector; compound fault; integrated diagnosis
Hrčak ID:
283617
URI
Publication date:
20.10.2022.
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