DocumentCode
3127088
Title
A fuzzy-statistical reasoning model for bearings fault diagnosis
Author
Stefanoiu, Dan ; Ionescu, Florin
Author_Institution
Fac. of Mech. Eng., Univ. of Appl. Sci., Konstanz, Germany
Volume
7
fYear
2002
fDate
6-9 Oct. 2002
Abstract
When searching for faults threatening a system, the human expert sometimes performs an amazingly accurate analysis of available information, eventually by only using some elementary statistics. Automating the reasoning mechanisms founding such an analysis is, in general, a difficult attempt, but also a possible one, in some cases. The paper aims to introduce a nonconventional method of bearings faults diagnosis, based upon some statistical and fuzzy concepts.
Keywords
entropy; fault diagnosis; fuzzy logic; inference mechanisms; pattern classification; vibration measurement; bearings fault diagnosis; fuzzy concepts; fuzzy entropy; fuzzy relations; fuzzy-statistical reasoning model; similarity defect classes; spectral statistics; statistical concepts; transitive closure; Encoding; Entropy; Fault detection; Fault diagnosis; Filters; Machinery; Mechanical engineering; Signal to noise ratio; Vibrations; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1175747
Filename
1175747
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