Research on Wear Debris Recognition System based on ART and Gray Level Co-occurrence Matrix

摘要

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.