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Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis
Vong C.M.; Wong P.K.; Wong K.I.
2014
Source PublicationApplied Soft Computing Journal
ISSN15684946
Volume22Pages:238-248
Abstract

Practical automotive engine fault diagnosis in an automotive service center is usually performed by analyzing the qualitative symptom descriptions provided by the vehicle owner. However, it is a non-trivial and time-consuming procedure because; (i) the qualitative symptom descriptions are usually collected through a questionnaire containing binary, numerical, and vague data that are difficult to digest; (ii) the engine malfunctioning may not be caused by a single-fault only, but several single-faults simultaneously (i.e., simultaneous-faults). Therefore, automotive mechanic usually requires several days or even weeks to diagnose and fix the engine. To improve this non-trivial and time-consuming procedure of engine fault diagnosis for the mechanic, a new framework of simultaneous-fault diagnosis is proposed in this paper by integrating fuzzification, pairwise probabilistic multi-label classification, and decision-by-threshold. This framework is called fuzzy and probabilistic simultaneous-fault diagnosis (FPSD). Compared to traditional frameworks, FPSD requires much fewer training cases of costly simultaneous-faults while it can probabilistically diagnose both unseen single-faults and simultaneous-faults based on qualitative symptom descriptions. To evaluate the performance of FPSD, a comparative study was conducted over common classification techniques. Experimental results show that the proposed framework can effectively alleviate the aforementioned issues. © 2014 Elsevier B.V. All rights reserved.

KeywordAutomotive Engine Diagnosis Decision Threshold Optimization Fuzzy Logic Probabilistic Classification Simultaneous-fault Diagnosis
DOI10.1016/j.asoc.2014.05.014
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000338706600020
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Citation statistics
Cited Times [WOS]:19   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Vong C.M.,Wong P.K.,Wong K.I.. Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis[J]. Applied Soft Computing Journal,2014,22:238-248.
APA Vong C.M.,Wong P.K.,&Wong K.I..(2014).Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis.Applied Soft Computing Journal,22,238-248.
MLA Vong C.M.,et al."Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis".Applied Soft Computing Journal 22(2014):238-248.
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