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.

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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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$38.00

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