Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines
	Vong, C. M.; Wong, P. K.; Tam, L. M.; Zhang, Z.Y.
	2011-05-01
Source Publication	Chinese Journal of Mechanical Engineering (SCI-E)
ISSN	1000-9345
Pages	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 multiclass 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.
Keyword	automotive engine ignition pattern diagnosis pattern classification wavelet packet transform support vector machines
URL	View the original
Language	英語English
The Source to Article	PB_Publication
PUB ID	6570
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Vong, C. M.
Recommended Citation GB/T 7714	Vong, C. M.,Wong, P. K.,Tam, L. M.,et al. Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines[J]. Chinese Journal of Mechanical Engineering (SCI-E), 2011, 870-878.
APA	Vong, C. M.., Wong, P. K.., Tam, L. M.., & Zhang, Z.Y. (2011). Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines. Chinese Journal of Mechanical Engineering (SCI-E), 870-878.
MLA	Vong, C. M.,et al."Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines".Chinese Journal of Mechanical Engineering (SCI-E) (2011):870-878.

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