Research on Wear Debris Recognition Based on Patch Similarity of Anisotropic Diffusion and BP Neural Network

Jian Li Kang

doi:10.4028/www.scientific.net/AMM.263-266.2458

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Research on Wear Debris Recognition Based on Patch...

Research on Wear Debris Recognition Based on Patch Similarity of Anisotropic Diffusion and BP Neural Network

Abstract:

Wear debris recognition,which is based on patch similarity of anisotropic diffusion algorithm and BP neural network,is researched.At first, feature parameter refining of wear debris image,which was based on patch similarity of anisotropic diffusion algorithm feature parameter refining,was researched.Second,wear debirs classifier,which was based on the BP neural network and the first step,was researched.At last,with experiment results and experiment results analysis,the wear debris recogniton system in the paper is proved to be some merits,which include high classification accuracy,fast learning convergence rate and high recognition rate.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2458-2461

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2458

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Online since:

December 2012

Authors:

Jian Li Kang*

Keywords:

BP Neural Network (BPNN), Feature Parameter, Patch Anisotropism, Wear Debirs

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* - Corresponding Author

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