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Browse Journals & Magazines > Vehicular Technology, IEEE Tr ...> Volume:49 Issue:2 Help

A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning

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3 Author(s)
Yi Lu ; Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA ; Tie Qi Chen ; Hamilton, B.

This paper describes a fuzzy model that learns automotive diagnostic knowledge through machine learning techniques. The fuzzy model contains the algorithms for automatically generating fuzzy rules and optimizing fuzzy membership functions. The fuzzy model has been implemented to detect a vacuum leak in the electronic engine controller (EEC) as part of the end-of-line test at automotive assembly plants. The implemented system has been tested extensively, and its performance is presented

Published in:
Vehicular Technology, IEEE Transactions on  (Volume:49 ,  Issue: 2 )

Date of Publication: Mar 2000

Page(s):
651 - 660
ISSN :
0018-9545
INSPEC Accession Number:
6579767
Digital Object Identifier :
10.1109/25.832997
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
Mar 2000
Sponsored by :
IEEE Vehicular Technology Society

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