| 基于模糊C-均值聚类算法的柴油机磨损状态评判 |
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| 引用本文： | 赵雪红,张来斌,樊建春.基于模糊C-均值聚类算法的柴油机磨损状态评判[J].润滑与密封,2005(2):23-25. |
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| 作者姓名： | 赵雪红 张来斌 樊建春 |
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| 作者单位： | 石油大学(北京)机电学院,北京,102249 |
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| 基金项目： | 国家自然科学基金资助项目 (50375103 )，北京市科技新星资助项目(2003B33) |
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| 摘 要： | 论述了模糊C-均值聚类算法的原理与步骤，选取光谱分析中磨损元素的含量和3个定量铁谱参数作为特征参数，将模糊C-均值聚类算法应用到柴油机磨损状态评判体系中，可以得到聚类中心和用于分类的标准向量。对聚类结果进行了验证，表明应用模糊聚类的方法评判柴油机的磨损状态是可信的和准确的。
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| 关 键 词： | 模糊C-均值聚类算法 标准向量 谱参数 光谱分析 元素 选取 模糊聚类 铁谱 聚类中心 验证 |
| 文章编号： | 0254-0150(2005)2-023-3 |
| 修稿时间： | 2004年3月30日 |
The Evaluation of Diesel Engine Wear Condition Based on Fuzzy C-mean Algorithm |
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| Zhao Xuehong,Zhang Laibin,Fan Jianchun.The Evaluation of Diesel Engine Wear Condition Based on Fuzzy C-mean Algorithm[J].Lubrication Engineering,2005(2):23-25. |
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| Authors: | Zhao Xuehong Zhang Laibin Fan Jianchun |
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| Abstract: | The principle and procedure of fuzzy C-mean algorithm were discussed.The content of wear elements in spectrum analysis and three quantitative parameters in ferrographic technology were chosen as feature parameters,then fuzzy C-mean algorithm was applied to analyze wear condition of diesel engine.The model was testified by experimental data,and results were proven to be reliable and accuracy. |
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| Keywords: | evaluation of wear condition fuzzy cluster fuzzy C-mean algorithm |
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