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Sustainability 2017, 9(4), 611; doi:10.3390/su9040611

Improving the Diagnosis Accuracy of Hydrothermal Aging Degree of V2O5/WO3–TiO2 Catalyst in SCR Control System Using an GS–PSO–SVM Algorithm

1,2,* , 1,2
,
1,2
and
1,2
1
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430000, China
2
Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430000, China
*
Author to whom correspondence should be addressed.
Academic Editor: Derek J. McPhee
Received: 21 December 2016 / Revised: 10 April 2017 / Accepted: 11 April 2017 / Published: 14 April 2017
(This article belongs to the Section Sustainable Chemistry)
View Full-Text   |   Download PDF [2149 KB, uploaded 14 April 2017]   |  

Abstract

Selective catalytic reduction (SCR) is one of the most effective technologies used for eliminating NOx 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 V2O5/WO3–TiO2 catalyst in the SCR system. This study shows the aging effect on the performance of a NH3 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. View Full-Text
Keywords: diesel engine; Urea–SCR; V2O5/WO3–TiO2 catalyst; hydrothermal aging; GS–PSO–SVM diesel engine; Urea–SCR; V2O5/WO3–TiO2 catalyst; hydrothermal aging; GS–PSO–SVM
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hu, J.; Zeng, J.; Wei, L.; Yan, F. Improving the Diagnosis Accuracy of Hydrothermal Aging Degree of V2O5/WO3–TiO2 Catalyst in SCR Control System Using an GS–PSO–SVM Algorithm. Sustainability 2017, 9, 611.

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