DocumentCode
526549
Title
Notice of Retraction
Experiment and modeling research on the number emission of diesel exhaust particles
Author
Chao He ; Longqing Zhao ; Dewen Jia ; Jiaqiang Li
Author_Institution
Sch. of Transp., Machinery & Civil Eng., Southwest Forestry Univ., Kunming, China
Volume
4
fYear
2010
fDate
9-11 July 2010
Firstpage
372
Lastpage
375
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Due to their adverse health effects and their abundance in urban areas, diesel exhaust particles (DEP) have been of great concern in the past years. An experiment was carried out on a direct injection, turbocharged diesel engine to investigate the number emission characteristics of particles. Furthermore, an artificial neural network (ANN) was used to establish an emission model of the diesel engine to predict the number and size of DEP. The results indicated that the mean relative errors were found to be less than 2.0% and the coefficients of determination (R2) were more than 0.95 for both particle number and size at training phrase. The R2 of particle number and particle size in the testing phrase between the predicted and actual values were 0.99 and 0.94 respectively. The ANN can be used to predict the number emissions of diesel exhaust particles.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Due to their adverse health effects and their abundance in urban areas, diesel exhaust particles (DEP) have been of great concern in the past years. An experiment was carried out on a direct injection, turbocharged diesel engine to investigate the number emission characteristics of particles. Furthermore, an artificial neural network (ANN) was used to establish an emission model of the diesel engine to predict the number and size of DEP. The results indicated that the mean relative errors were found to be less than 2.0% and the coefficients of determination (R2) were more than 0.95 for both particle number and size at training phrase. The R2 of particle number and particle size in the testing phrase between the predicted and actual values were 0.99 and 0.94 respectively. The ANN can be used to predict the number emissions of diesel exhaust particles.
Keywords
air pollution; diesel engines; exhaust systems; health and safety; mechanical engineering computing; neural nets; adverse health effects; artificial neural network; diesel exhaust particles emission; direct injection diesel engine; mean relative errors; turbocharged diesel engine; Artificial neural networks; Atmospheric measurements; Computational modeling; Educational institutions; Mathematical model; Particle measurements; Size measurement; Artificial neural network; Count mean diameter; Diesels exhaust particles; Number emissions;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564571
Filename
5564571
Link To Document