Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems

UM > Faculty of Science and Technology

Status	已發表Published
	Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems
	Vong, C. M.; Wong, P. K.; Ip, W.F.
	2010-10-01
Source Publication	Journal of the Chinese Society of Mechanical Engineers (SCI-E)
ISSN	0257-9731
Pages	363-374
Abstract	In traditional way, whenever there is any fault in an automotive engine ignition system and change of engine conditions, an automotive mechanic can perform an analysis on the ignition pattern of the engine to check any exceptional symptoms, based on specific domain knowledge (domain features of an ignition pattern). In this paper, support vector machine (SVM) is presented to help solve manual diagnosis problem based on not only the domain features, but also the shape features of patterns captured by using a computer-linked automotive scope meter. Since raw ignition patterns captured by the scope meter are very similar, wavelet packet transform (WPT) is proposed for feature extraction so that the ignition patterns can be comparable under the extracted shape features. However, there exist many redundant points in the extracted features which will degrade the diagnosis performance and speed. Therefore, kernel principal components analysis (KPCA) is employed for dimension reduction. Three different SVMs were constructed for diagnosis and comparison. They were built by (i) using raw captured ignition patterns, (ii) purely extracted pattern features, and (iii) domain features along with extracted pattern features. Experimental results show that linear kernel SVM using domain features and extracted pattern features generates the highest accuracy.
Keyword	Support vector machine Wavelet packet transform Kernel principal component analysis Engine ignition pattern analysis
Language	英語English
The Source to Article	PB_Publication
PUB ID	6566
Document Type	Journal article
Collection	Faculty of Science and Technology
Corresponding Author	Wong, P. K.
Recommended Citation GB/T 7714	Vong, C. M.,Wong, P. K.,Ip, W.F.. Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems[J]. Journal of the Chinese Society of Mechanical Engineers (SCI-E), 2010, 363-374.
APA	Vong, C. M.., Wong, P. K.., & Ip, W.F. (2010). Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems. Journal of the Chinese Society of Mechanical Engineers (SCI-E), 363-374.
MLA	Vong, C. M.,et al."Support Vector Classification using Domain Knowledge and Extracted Pattern Features for Diagnosis of Engine Ignition Systems".Journal of the Chinese Society of Mechanical Engineers (SCI-E) (2010):363-374.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh