基于数据挖掘的态势评估模型及其应用

Shouzhi Wei, N. Jin, Xingjie Hui, Hui Liu
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引用次数: 5

摘要

为了有效解决中国金林丰满水电站水轮发电机组的态势评估问题,提出了一种基于数据挖掘的通用态势评估模型,即采集多源数据,利用改进的粗糙集算法自动获取知识,利用改进的黑板模型实现动态环境下的通用态势评估。该模型已成功应用于吉林丰满水电数字化仿真系统的态势评估。系统测试表明,该模型是有效的,可以广泛应用。该模型解决了原有系统的高复杂性、规则冗余、通用性低等问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Situation Assessment Model and Its Application Based on Data Mining
In order to solve effectively the issue of situation assessment of hydroelectric generating units in Jinlin FengMan hydropower plant in China, a general situation assessment model based on data mining is proposed, that is, gathering multi-source data, obtaining knowledge automatically using modified rough set algorithm, and the general situation assessment being realized by utilizing the modified blackboard model in dynamic circumstance. The model has been successfully applied in situation assessment of hydroelectricity digital simulation system of Jilin Fengman. Tests on system show that the proposed model are effective and can be applied widely. This model has solved high complexity, redundancy of rule, and lowered generality of former system
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