Research on Wear Debris Recognition System Based on ART and Gray Level Co-Occurrence Matrix

Abstract:

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Wear debris recongition system is researched,which is based on adaptive resonance theory of artifical neural network(ART) and gray level co-occurrence matrix.The ditailed process is as follows:the first,according to gray level co-occurrence matrix theory,wear image refining feature parameter algorithm is researched; the second,in order to solve the wear debris classification,which is built on the wear image refining feature parameter algorithm, wear debris classification ART algorithm is researched;at last,a series of experiments,which is based on the algorithm,are processed.The theroy derivation and experiment results prove that the wear debris recongition system is feasible in recognition accuracy and algorithm convergence speed.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4127-4131

DOI:

10.4028/www.scientific.net/AMM.121-126.4127

Citation:

J. L. Kang "Research on Wear Debris Recognition System Based on ART and Gray Level Co-Occurrence Matrix", Applied Mechanics and Materials, Vols. 121-126, pp. 4127-4131, 2012

Online since:

October 2011

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$35.00

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