基于K值的铁谱磨粒智能识别研究
Study on the Intelligent Identification Wear Particles Based on the K Value

作者: 齐运永 :华洋海事中心,北京;

关键词: 铁谱技术图像工程分形理论分形维数K值Ferrographic Technology Image Engineering Fractal Theory Fractal Dimension K Value

摘要:
本文采用了K值法作为磨损颗粒分类的判据。通过对样本磨损颗粒图像的K值计算,得出了三种磨损颗粒图像K值的区间。虽然区间中有个别样本的K值存在重叠,但是能作为区分这三种磨损颗粒的依据,对这三种磨粒进行分类。将K值法作为区分上述三种磨损颗粒的判据,可以有效弥补用分形维数区分磨损颗粒时,识别不精确的情况,从而提高了识别的精确度。K值法为铁谱磨损颗粒智能识别提供了一种新的方法,具有一定理论意义和实用价值。

Abstract: A new method named K value method is adopted to classify the wear particles as the criterion of the wear particles. Through analyzing the K value obtained from wear particle image samples, the range of the three kinds of wear particle images’ K value are obtained. Although the K value ranges, the three different particles are still a little overlapped. It is better than the variable metric method, so it can be used as a good method to classify the three different kinds of wear particles. As a criterion to distinguish the above three kinds of wear particles, the K value method can effectively make up for ineffective results from fractal dimension. The K value method can improve the preci-sion of the identification. The K value method provides a new method for ferrographic wear par-ticles intelligent identification and has certain theoretical significance and practical value.

文章引用: 齐运永 (2015) 基于K值的铁谱磨粒智能识别研究。 交通技术, 4, 58-63. doi: 10.12677/OJTT.2015.44009

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