基于粗糙集理论的润滑油衰变数据挖掘及实现

Lubricant Degradation Data Mining Model Based on Rough Set and its Implementation

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.

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 reli-able.