Fault Diagnosis of Automotive Engines using Fuzzy Relevance Vector Machine

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

Status	已發表Published
	Fault Diagnosis of Automotive Engines using Fuzzy Relevance Vector Machine
	Wong, P. K.; Vong, C. M.; Zhang, Z.Y.; Xu, Q.S.
	2011-09-01
Source Publication	Theoretical and Mathematical Foundations of Computer Science, Communications in Computer and Information Science
Publication Place	Germany
Publisher	Springer-Verlag
Pages	213-220
Abstract	For any faults of automotive engines, the diagnosis can be performed based on variety of symptoms. Traditionally, the description of the faulty symptom is just existence or not. However, this description cannot lead to a high accuracy because the symptom sometimes appears in different degrees. Therefore, a knowledge representation method which could precisely reflect the degree of the symptom is necessary. In this paper, the fuzzy logic is firstly applied to quantify the degrees of symptoms. A probabilistic classification system is then constructed by using the fuzzified symptoms and a new technique namely Fuzzy Relevance Vector Machine (FRVM). Moreover, both Fuzzy Probabilistic Neural Network (FPNN) and Fuzzy Probabilistic Support Vector Machine (FPSVM) are used to respectively construct similar classification systems for comparison with FRVM. Experimental results show that FRVM produces higher diagnosis performance than FPNN and FPSVM.
Keyword	Fuzzy Probabilistic Neural Network Fuzzy Probabilistic Support Vector Machine Fuzzy Relevance Vector Machine Engine fault diagnosis
Language	英語English
ISBN	9783642249983
The Source to Article	PB_Publication
PUB ID	9015
Document Type	Book chapter
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation GB/T 7714	Wong, P. K.,Vong, C. M.,Zhang, Z.Y.,et al. Fault Diagnosis of Automotive Engines using Fuzzy Relevance Vector Machine[M]. Theoretical and Mathematical Foundations of Computer Science, Communications in Computer and Information Science, Germany:Springer-Verlag, 2011, 213-220.
APA	Wong, P. K.., Vong, C. M.., Zhang, Z.Y.., & Xu, Q.S. (2011). Fault Diagnosis of Automotive Engines using Fuzzy Relevance Vector Machine. Theoretical and Mathematical Foundations of Computer Science, Communications in Computer and Information Science, 213-220.

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