Improving the Diagnosis Accuracy of Hydrothermal Aging Degree of V 2 O 5 /WO 3 –TiO 2 Catalyst in SCR Control System Using an GS–PSO–SVM Algorithm

Jie Hu, Jiawei Zeng, Li Wei and Fuwu Yan
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Jie Hu: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430000, China
Jiawei Zeng: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430000, China
Li Wei: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430000, China
Fuwu Yan: Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430000, China

Sustainability, 2017, vol. 9, issue 4, 1-15

Abstract: Selective catalytic reduction (SCR) is one of the most effective technologies used for eliminating NO x from diesel engines. This paper presents a novel method based on a support vector machine (SVM) and particle swarm optimization (PSO) with grid search (GS) to diagnose the degree of aging of the V 2 O 5 /WO 3 –TiO 2 catalyst in the SCR system. This study shows the aging effect on the performance of a NH 3 slip based closed-loop SCR control system under different aging factors ( α ), which are defined by the SCR reaction rate ( R scr ). A diagnosis of the performance of GS–PSO–SVM has been presented as compared to SVM, GS–SVM and PSO–SVM to get reliable results. The results show that the average prediction diagnosis accuracy of the degree of catalytic aging is up to 93.8%, 93.1%, 92.9% and 92.0% for GS–PSO–SVM, PSO–SVM, GS–SVM and SVM respectively. It is demonstrated that GS–PSO–SVM is able to identify the SCR catalyst’s degree of aging, to ultimately assist with fault tolerance in the aging of the SCR catalyst.

Keywords: diesel engine; Urea–SCR; V 2 O 5 /WO 3 –TiO 2 catalyst; hydrothermal aging; GS–PSO–SVM (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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