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Ignition pattern analysis for automotive engine trouble diagnosis using wavelet packet transform and support vector machines
VONG Chi-man1; WONG Pak-kin2; TAM Lap-mou2; ZHANG Zaiyong2
2011-09-01
Source PublicationChinese Journal of Mechanical Engineering (English Edition)
ISSN1000-9345
Volume24Issue:5Pages:870-878
Abstract

Engine spark ignition is an important source for diagnosis of engine faults. Based on the waveform of the ignition pattern, a mechanic can guess what may be the potential malfunctioning parts of an engine with his/her experience and handbooks. However, this manual diagnostic method is imprecise because many spark ignition patterns are very similar. Therefore, a diagnosis needs many trials to identify the malfunctioning parts. Meanwhile the mechanic needs to disassemble and assemble the engine parts for verification. To tackle this problem, an intelligent diagnosis system was established based on ignition patterns. First, the captured patterns were normalized and compressed. Then wavelet packet transform (WPT) was employed to extract the representative features of the ignition patterns. Finally, a classification system was constructed by using multi-class support vector machines (SVM) and the extracted features. The classification system can intelligently classify the most likely engine fault so as to reduce the number of diagnosis trials. Experimental results show that SVM produces higher diagnosis accuracy than the traditional multilayer feedforward neural network. This is the first trial on the combination of WPT and SVM to analyze ignition patterns and diagnose automotive engines. © 2011 Chinese Journal of Mechanical Engineering.

KeywordAutomotive Engine Ignition Pattern Diagnosis Pattern Classification Support Vector Machines Wavelet Packet Transform
DOIhttp://doi.org/10.3901/CJME.2011.05.870
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Mechanical
WOS IDWOS:000295306100021
Fulltext Access
Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
2.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
VONG Chi-man,WONG Pak-kin,TAM Lap-mou,et al. Ignition pattern analysis for automotive engine trouble diagnosis using wavelet packet transform and support vector machines[J]. Chinese Journal of Mechanical Engineering (English Edition),2011,24(5):870-878.
APA VONG Chi-man,WONG Pak-kin,TAM Lap-mou,&ZHANG Zaiyong.(2011).Ignition pattern analysis for automotive engine trouble diagnosis using wavelet packet transform and support vector machines.Chinese Journal of Mechanical Engineering (English Edition),24(5),870-878.
MLA VONG Chi-man,et al."Ignition pattern analysis for automotive engine trouble diagnosis using wavelet packet transform and support vector machines".Chinese Journal of Mechanical Engineering (English Edition) 24.5(2011):870-878.
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