| K-均值聚类法在机械设备铁谱监测技术中的应用 |
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| 引用本文： | 刘向东,包春江.K-均值聚类法在机械设备铁谱监测技术中的应用[J].机械设计与制造,2006(5):86-87. |
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| 作者姓名： | 刘向东 包春江 |
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| 作者单位： | 1. 沈阳农业大学,工程学院,沈阳,110161
2. 中国矿业大学,机械工程博士后流动站,徐州,221008;聊城大学,汽车与交通工程学院,聊城,252059 |
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| 摘 要： | 铁谱分析技术是润滑油液分析技术的主导技术,是机械设备工况监测和故障诊断的主要技术手段之一。铁谱片上磨损颗粒间的区分是磨损颗粒识别和诊断的基础。针对铁谱图像中磨损颗粒形状和颜色分布的复杂性,利用数字图像处理技术,采用K-均值聚类法,对铁谱彩色图像进行了分割处理研究。试验结果表明,K-均值聚类法可以有效地分割彩色铁谱图像,将磨损颗粒提取出来,为铁谱图像的后续处理工作奠定了基础。
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| 关 键 词： | K-均值聚类法 颜色分割 铁谱图像 |
| 文章编号： | 1001-3997(2006)05-0086-02 |
| 收稿时间： | 2005-07-19 |
| 修稿时间： | 2005年7月19日 |
Appliment of K- means clustering in condition monitoring of machinal equipment based on ferrograpny |
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| LIU Xiang-dong,BAO Chun-jiang.Appliment of K- means clustering in condition monitoring of machinal equipment based on ferrograpny[J].Machinery Design & Manufacture,2006(5):86-87. |
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| Authors: | LIU Xiang-dong BAO Chun-jiang |
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| Affiliation: | 1.College of Engineering, Shenyang Agriculture University, Shenyang 110161, China; 2. China University of Mining and Technology, Xuzhou 221008, China;3College of Auto and Traffic Engineering, Liaocheng University, Liaocheng 252059, China |
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| Abstract: | The main technology of lubrication oil analyzing Ferrograph is.And e ven what's more,it's a primary method to monitor machine equipment condition and diagnose default.The foundation of wear particle recognizing and diagnosing is to distinguish the difference between wear particle on ferrogram.According to th e complicated characters of shape and color to the grain in the ferrograph image .Digital image processing and K-means clustering method have been used in this paper, The ferrograph image segmentation has been realized through color-based method.The experience result proved that color-based segmentation can distingui sh the color ferrograph image effectively.Under this circumstance, later image p rocessing can be proceeding. |
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| Keywords: | K-means clustering Color segmentation Ferrograph image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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