Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine

UM > Faculty of Science and Technology

Status	已發表Published
	Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine
	Vong, C. M.; Wong, P.K.; Ip, W. F.; Chiu, C. C.
	2013-03-01
Source Publication	Mathematical Problems in Engineering (SCI-E)
ISSN	1024-123X
Pages	1-19
Abstract	Engine ignition patterns can be analyzed to identify the engine fault according to both the specific prior domain knowledge and the shape features of the patterns. One of the challenges in ignition system diagnosis is that more than one fault may appear at a time.This kind of problem refers to simultaneous-fault diagnosis. Another challenge is the acquisition of a large amount of costly simultaneous-fault ignition patterns for constructing the diagnostic system because the number of the training patterns depends on the combination of different single faults. The above problems could be resolved by the proposed framework combining feature extraction, probabilistic classification, and decision threshold optimization. With the proposed framework, the features of the single faults in a simultaneous-fault pattern are extracted and then detected using a new probabilistic classifier, namely, pairwise coupling relevance vectormachine, which is trained with single-fault patterns only.Therefore, the training dataset of simultaneousfault patterns is not necessary. Experimental results show that the proposed framework performs well for both single-fault and simultaneous-fault diagnoses and is superior to the existing approach.
Keyword	Engine ignition-pattern analysis Simultaneous-fault diagnosis Prior domain knowledge feature Pairwise coupled relevance vector machine Decision threshold optimization
Language	英語English
The Source to Article	PB_Publication
PUB ID	9743
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.,et al. Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine[J]. Mathematical Problems in Engineering (SCI-E), 2013, 1-19.
APA	Vong, C. M.., Wong, P.K.., Ip, W. F.., & Chiu, C. C. (2013). Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine. Mathematical Problems in Engineering (SCI-E), 1-19.
MLA	Vong, C. M.,et al."Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine".Mathematical Problems in Engineering (SCI-E) (2013):1-19.

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