An integrated system for automatic wear particle analysis

被引：11

作者：

Xu, K

Luxmoore, AR

机构：

[1] School of Engineering, University of Wales, Swansea SA2 8PP, Singleton Park

[2] Northern Jiaotong University, Beijing

[3] Dept. of Elec. and Electron. Eng., University of Wales, Swansea

来源：

WEAR | 1997年 / 208卷 / 1-2期

关键词：

computer vision; wear analysis; neural networks; expert system; image analysis;

D O I：

10.1016/S0043-1648(96)07495-9

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The knowledge-based software system CASPA (computer aided systematic particle analysis), developed previously to help classify wear particles in terms of wear mode, has been updated and recoded for the MS Windows operating system. A similar change has been made to CAVE (computer aided vision engineering), a computer vision system which has been extended to analyse wear particle morphology automatically, in accordance with the attributes defined in CASPA, and using neural networks for classifications. These two systems are now linked, using Windows technology, with CASPA controlling the wear analysis, and using CAVE to carry out automatic analysis on single particles. (C) 1997 Elsevier Science S.A.

引用

页码：184 / 193

页数：10

共 10 条

[1]

ALBIDEWI IA, 1993, THESIS U WALES SWANS

[2]

ANDERSON DW, 1982, NAEC92163

[3]

FREEMAN H, 1977, IEEE T COMPUT, V26, P297, DOI 10.1109/TC.1977.1674825

[4]

HUSH DR, 1993, IEEE SIGNAL PROC JAN, P8

[5]

IMPEDOVO S, 1978, IEEE T SYST MAN CYB, V8, P640

[6]

KATAGIRI M, 1994, IEICE T INF SYST, VE77D, P754

[7] NEURAL NETWORKS FOR THE CLASSIFICATION OF IMAGE TEXTURE [J].

MUHAMAD, AK ;

DERAVI, F .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1994, 7 (04) :381-393

[8]

ROYLANCE BJ, 1992, LUBR ENG, V48, P940

[9]

ROYLANCE BJ, 1994, LUBR ENG, V50, P111

[10] COMPUTER IMAGE-ANALYSIS FOR IDENTIFICATION OF WEAR PARTICLES [J].

THOMAS, ADH ;

DAVIES, T ;

LUXMOORE, AR .

WEAR, 1991, 142 (02) :213-226

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