航空学报 > 2002, Vol. 23 Issue (3): 279-281

润滑油金属磨粒的分类参数研究

陈果, 左洪福   

  1. 南京航空航天大学民航学院 江苏南京 210016
  • 收稿日期:2001-06-21 修回日期:2001-09-10 出版日期:2002-06-25 发布日期:2002-06-25

CLASSING PARAMETER'S STUDY OF LUBRICATING OIL METAL DEBRIS

CHEN Guo, ZUO Hong-fu   

  1. Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2001-06-21 Revised:2001-09-10 Online:2002-06-25 Published:2002-06-25

摘要:

针对润滑系统中普遍存在的 8类金属磨粒,通过引入数字图像描述方法和处理技术,分别对磨粒的尺寸、形态、表面纹理以及颜色等参数进行了详细的研究,获取了各类磨粒识别的最佳参数,并提出了磨粒的分层识别策略,最后运用模糊 C-均值聚类方法实现了 8类磨粒的有效聚类。算例表明了本文方法的有效性。

关键词: 磨粒, 参数, 模式识别, 模糊聚类

Abstract:

In this thesis, aimed at eight kinds of metal debris existing in lubricating systems, by introducing the digital image process methods, the debris size, shape, texture, and color parameters are researched in detail. Finally, a debris' recognition method layer by layer is provided, and the fuzzy c-mean clustering recognition method is applied to recognize effectively the eight kinds of debris. Examples show that the method in this paper is simple and effective.

Key words: debris, parameter, pattern recognition, fuzzy clustering