Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering

UM > Faculty of Science and Technology

Status	已發表Published
	Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering
	Vong, C. M.; Wong, P. K.; Ip, W.F.
	2010-11-01
Source Publication	Information- An International Interdisciplinary Journal (SCI-E)
ISSN	1343-4500
Pages	2081-2092
Abstract	This paper presents a case-based reasoning (CBR) approach to assist diagnosis problem based on the extracted features of engine ignition signals. The advantage of the CBR system is that multiple possible diagnoses can be provided to the user, instead of a single most probable diagnosis provided by the traditional network-based classifiers such as multi-layer perceptrons (MLP). To overcome the retrieval inefficiency of CBR, wavelet packet transform (WPT) and K-means clustering (KM) are integrated together to form a new signal preprocessing method for the CBR system. Experimental result shows that CBR using WPT and KM generates higher diagnostic accuracy than MLP.
Keyword	Case based reasoning Wavelet packet transform Clustering Engine ignition signal analysis
Language	英語English
The Source to Article	PB_Publication
PUB ID	6567
Document Type	Journal article
Collection	Faculty of Science and Technology
Corresponding Author	Vong, C. M.
Recommended Citation GB/T 7714	Vong, C. M.,Wong, P. K.,Ip, W.F.. Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering[J]. Information- An International Interdisciplinary Journal (SCI-E), 2010, 2081-2092.
APA	Vong, C. M.., Wong, P. K.., & Ip, W.F. (2010). Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering. Information- An International Interdisciplinary Journal (SCI-E), 2081-2092.
MLA	Vong, C. M.,et al."Engine Ignition System Diagnosis using Case-based Reasoning Enhanced with Wavelet Packet Transform and Clustering".Information- An International Interdisciplinary Journal (SCI-E) (2010):2081-2092.

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