| 基于变精度粗糙集的机械故障诊断方法 |
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| 引用本文： | 张瑞玲,张银丽.基于变精度粗糙集的机械故障诊断方法[J].煤矿机械,2007,28(3):191-193. |
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| 作者姓名： | 张瑞玲 张银丽 |
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| 作者单位： | 洛阳师范学院,河南,洛阳,471022 |
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| 基金项目： | 河南省教育厅自然科学基金 |
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| 摘 要： | 探讨了基于变精度粗糙集模型的故障诊断规则获取方法,该方法通过相应的变精度属性约简算法,利用变精度属性约简有效地处理带噪声的决策表,提取符合可信度要求的故障诊断规则形成规则集。此方法克服了标准粗糙集模型对数据噪声过于敏感的缺点,增强了数据分析和处理的鲁棒性。
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| 关 键 词： | 粗糙集 变精度粗糙集 故障诊断 属性约简 规则提取 |
| 文章编号： | 1003-0794（2007）03-0191-03 |
| 修稿时间： | 2006-11-04 |
Method of Machinery Fault Diagnosis Based on Variable Precision Rough Set |
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| ZHANG Rui-ling,ZHANG Yin-li.Method of Machinery Fault Diagnosis Based on Variable Precision Rough Set[J].Coal Mine Machinery,2007,28(3):191-193. |
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| Authors: | ZHANG Rui-ling ZHANG Yin-li |
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| Affiliation: | Luoyang Normal College, Luoyang 471022, China |
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| Abstract: | The rule acquisition method of fault diagnosis based on variable precision rough set is discussed. The method forms the rule set . With corresponding attribute reduction arithmetic, decision table that contains noise is dealed with efficiently, and then acquire the fault applications show that this method overcomes sitive to the noise. This method also strength diagnosis rule that is suit for confidence requirement. The the shortcoming about which standard rough set model is too senens the robustness of data analysis and procegs. |
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| Keywords: | rough set variable precision rough set fault diagnosis attribute reduction rule acquisition |
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