Abstract: As a new technique, the theory of g rey system has been applied to many areas such as per form pr edict ion,r elational analysis and decision making . I n this paper, the w hitenization w eight function of gr ey clustering is presented after sensitivity analysis of catachrestic parameters of w ear particles, and the clustering weight is also givenbased on the identification test of wear particles. The program of auto-ident ification of w ear par ticles has been madeby means of grey cluster ing analysis, and an exper iment of wear particles classification by this method has beendone. The identificat ion accuracy of debr is by gr ey cluster ing analysis is hig her than 90%, and the speed of classification is very fast. It is much better than the traditional ones.

Key words: grey system, grey clustering analysis, oil analysis, wear particles identification