NDLI: Simultaneous faults diagnosis for automotive ignition patterns

Content Provider	IEEE Xplore Digital Library
Author	Chi-Man Vong Pak-Kin Wong Weng-Fai Ip
Copyright Year	2011
Description	Author affiliation: Faculty of Science and Technology, University of Macau, Macao, China (Chi-Man Vong; Pak-Kin Wong; Weng-Fai Ip)
Abstract	Many practical applications have the property that different possible faults may appear at one time. Simultaneous faults diagnosis is referred to accurately diagnose the possible faults based on the symptoms from an observed pattern. There are two key challenges in this kind of problem: 1) the symptoms of different faults are mixed or combined into one (input) pattern which makes accurate diagnosis difficult, 2) the preparation of a large amount of training patterns because there are many different combinations of faults. We proposed a framework to effectively resolve these challenges using feature extraction and multi-label probabilistic classification. This framework has been applied and verified in the domain of automotive ignition patterns.
Starting Page	1324
Ending Page	1330
File Size	405876
Page Count	7
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016890
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ignition Probabilistic logic Feature extraction Training Discrete wavelet transforms Circuit faults automotive ignition patterns Simultaneous faults diagnosis feature extraction multi-label probabilistic classification
Content Type	Text
Resource Type	Article

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