NDLI: A classification model based on extenics with weighted features for rolling bearing quality test

Content Provider	IEEE Xplore Digital Library
Author	Fan Yang Caili Zhang
Copyright Year	2011
Description	Author affiliation: Department of Mechanical & electronic engineering, Shaanxi University of Science and Technology, Xi'an, China (Caili Zhang) \|\| Department of Electronic & information engineering, Shaanxi University of Science and Technology, Xi'an, China (Fan Yang)
Abstract	Considering the characteristics of multi-attribute decision making in analysis and detection of rolling bearing quality grades, a new model is built based on entropy theory and extension classification algorithm for analysis of rolling bearing quality grades. The qualitative description of matter element model is built with the training dataset using extension theory, and the objective weight coefficient of each characteristics is calculated based on the concept of entropy, then using correlative functions in extenics theory, the weighted correlative grade of the objects which unknown quality grades and each matter-element object in knowledge database is calculated quantitatively, and the quality classes of the object is judged according to the rules pre-set. Experimental results show that the method can realize effectively the classification of rolling bearing quality, and has the advantages such as simple model, reliable results, and high detection speed. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Starting Page	3760
Ending Page	3762
File Size	273285
Page Count	3
File Format	PDF
ISBN	9781424494361
e-ISBN	9781424494392
DOI	10.1109/MACE.2011.5987814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Extension Set Decision making Rolling bearings Soil Entropy Weight Rocks Classification component Correlative Functions Entropy Water resources
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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