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Prediction of Automotive Engine Power and Torque Using Support Vector Machines
WONG Pak-kin1; VONG Chi-man2; Ho Chon-meng1; LI Yi-ping2
2004
Conference NameSymposium on Applied Science and Technology in Macau
Source PublicationProceedings of Symposium on Applied Science and Technology in Macau 2004, Macao
Conference Date2004
Conference PlaceMacau
Abstract

Automotive engine power & torque is significantly affected with effective tune-up. Currentpractice of engine tune-up relies on the experience of the automotive engineer. Therefore, engine tine-upis usually done by trial-and-error method because a formal power & torque function of the engine has not been determined yet. With an emerging technique, Support Vector Machines (SVM), the approximatepower& torque function of a vehicle engine can be determined by training the sample data acquired from the dynamometer. The construction and accuracy of the function are also discussed in this paper. The study shows that the predicted results are good agreement with the actual test results

KeywordAutomotive Engine Setup Support Vector Machines Engine Power And Torque
Language英語English
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Electromechanical Engineering, University of Macau, Macao
2.Department of Computer and Information Science, University of Macau, Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
WONG Pak-kin,VONG Chi-man,Ho Chon-meng,et al. Prediction of Automotive Engine Power and Torque Using Support Vector Machines[C], 2004.
APA WONG Pak-kin., VONG Chi-man., Ho Chon-meng., & LI Yi-ping (2004). Prediction of Automotive Engine Power and Torque Using Support Vector Machines. Proceedings of Symposium on Applied Science and Technology in Macau 2004, Macao.
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