| 润滑油金属磨粒的分类参数研究 |
| |
| 引用本文： | 陈果,左洪福.润滑油金属磨粒的分类参数研究[J].航空学报,2002,23(3):279-281. |
| |
| 作者姓名： | 陈果 左洪福 |
| |
| 作者单位： | 南京航空航天大学,民航学院,江苏,南京,210016 |
| |
| 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 |
| 文章编号： | 1000-6893(2002)03-0279-03 |
| 修稿时间： | 2001年6月21日 |
CLASSING PARAMETER'S STUDY OF LUBRICATING OIL METAL DEBRIS |
| |
| CHEN Guo,ZUO Hong fu.CLASSING PARAMETER''''S STUDY OF LUBRICATING OIL METAL DEBRIS[J].Acta Aeronautica et Astronautica Sinica,2002,23(3):279-281. |
| |
| Authors: | CHEN Guo ZUO Hong fu |
| |
| Institution: | Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
| |
| 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. |
| |
| Keywords: | debris parameter pattern recognition fuzzy clustering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《航空学报》浏览原始摘要信息 |
| 点击此处可从《航空学报》下载免费的PDF全文 |
|
