| 基于粗糙集理论的润滑油衰变数据挖掘及实现 |
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| 引用本文： | 石新发,刘东风.基于粗糙集理论的润滑油衰变数据挖掘及实现[J].武汉理工大学学报(交通科学与工程版),2008,32(3). |
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| 作者姓名： | 石新发 刘东风 |
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| 作者单位： | 海军工程大学青岛油液检测分析中心,青岛,266012 |
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| 摘 要： | 多种润滑油衰变监测技术联合使用,会产生大量信息冗余,为减少信息的处理量,提高推理效率,利用基于粗糙集理论的数据挖掘方法对某柴油机润滑油衰变信息进行融合约简,得出该型柴油机润滑油衰变状态的最优决策规则,说明粗糙集理论对润滑油衰变冗余信息的处理是有效的,同时也表明依靠润滑油红外光谱信息可以完成润滑油衰变状态评价任务.
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| 关 键 词： | 油液监测 粗糙集理论 数据挖掘 柴油机 |
Lubricant Degradation Data Mining Model Based on Rough Set and its Implementation |
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| Shi Xinfa,Liu Dongfeng.Lubricant Degradation Data Mining Model Based on Rough Set and its Implementation[J].journal of wuhan university of technology(transportation science&engineering),2008,32(3). |
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| Authors: | Shi Xinfa Liu Dongfeng |
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| Abstract: | Monitoring lubricant degradation with multi methods will bring redundancy of information.For improving monitoring efficiency,a data mining model introduced based on Rough set.The information which is used to evaluate the quality of diesel's lubricant is amalgamated and reduced by the model.The optimal decision about the diesel's lubricant degradation is inferred.It is found that using the Rough set to manage the information of lubricant degradation is effective;at the same time,it also indicates that using infrared information to evaluate the quality of diesel's lubricant degradation is reliable. |
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| Keywords: | oil monitoring rough set data mining diesel |
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