| 基于最佳分类数和粗糙集的故障诊断方法 |
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| 引用本文： | 彭慧伶.基于最佳分类数和粗糙集的故障诊断方法[J].计算机与数字工程,2010,38(5):31-34,95. |
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| 作者姓名： | 彭慧伶 |
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| 作者单位： | 洛阳理工学院计算机与信息工程系,洛阳,471023 |
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| 摘 要： | 提出了一种基于最佳分类数和粗糙集理论的汽轮机轴系振动故障诊断方法。该方法利用模糊C均值聚类算法（FCM）把数据的连续属性离散化,以形成隶属度矩阵及属性分类数,根据隶属度矩阵及属性分类数进行划分系数和划分熵的有效性评判,最终找到连续属性的最佳分类数。然后根据最佳分类数对数据的连续属性进行实际的离散化,将离散化后形成的离散数据根据粗糙集理论,进行数据挖掘,得到诊断规则,有效提高了汽轮机轴系振动故障的诊断水平。
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| 关 键 词： | 模糊C均值聚类 最佳分类数 划分系数 划分熵 粗糙集 |
Method of Fault Diagnosis Based on Optimal Classified Number and Rough Set |
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| Peng Huiling.Method of Fault Diagnosis Based on Optimal Classified Number and Rough Set[J].Computer and Digital Engineering,2010,38(5):31-34,95. |
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| Authors: | Peng Huiling |
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| Affiliation: | Department of Computer and Information Engineering/a>;Luoyang Institute of Science and Technology/a>;Luoyang 471023 |
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| Abstract: | The diagnostic method on stream crankshaft based on optimal classification number and rough set theory is proposed in this paper,which discretizes the continuous attributes of data with fuzzy C-means clustering to obtain the subjected matrix,then it has a validated judgement according to the computed partition coefficient and partition entropy by the subjected matrix and the cluster number,finally finds the optimal classified number of continuous attributes.It actually discretizes the continuous attributes ... |
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| Keywords: | fuzzy C-means clustering optimal classified number partition coefficient partition entropy rough set |
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