| 时间序列分析在流程企业中的应用研究 |
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| 引用本文： | 闫伟,张浩,路剑峰. 时间序列分析在流程企业中的应用研究[J]. 计算机工程与应用, 2005, 41(7): 27-29 |
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| 作者姓名： | 闫伟 张浩 路剑峰 |
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| 作者单位： | 同济大学CIMS研究中心,上海,200092;上海电力学院,上海,200092 |
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| 基金项目： | 国家863高技术研究发展计划项目(编号:2002AA412410) |
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| 摘 要： | 该文采用数据挖掘中的时间序列模式对流程企业中的实际运行数据进行分析,首先采用模糊理论对实际数据进行处理,找出偏离常规运行状态但未到报警界限的参数点并模糊化,然后采用时间窗对参数离散处理,划分时间间隔得到时间序列数据库。然后对传统的Apriori算法进行改进,提出了基于关联规则的时间序列分析算法并编程实现,起到了对设备故障预警监控的作用。
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| 关 键 词： | 数据挖掘 时间序列分析 Apriori 算法 故障监控 流程企业 |
| 文章编号： | 1002-8331-(2005)07-0027-03 |
| 修稿时间： | 2005-01-01 |
The Application and Research of Time-interval Sequential Analysis to Flowing Industry |
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| Yan Wei,Zhang Hao,Lu Jianfeng. The Application and Research of Time-interval Sequential Analysis to Flowing Industry[J]. Computer Engineering and Applications, 2005, 41(7): 27-29 |
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| Authors: | Yan Wei Zhang Hao Lu Jianfeng |
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| Affiliation: | Yan Wei1 Zhang Hao2 Lu Jianfeng11 |
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| Abstract: | To monitor flowing industry's production,the large history database is analyzed by fuzzy theory and the exceptional equipment's parameters are found.The parameters in real-time database are scattered by time-window approach.A new time-interval sequential database is got by dealing with time intervals.In order to find time-interval rules,the conventional Apriori algorithm is modified and implemented in flowing industry.Then the models can monitor faults when the equipments circulating. |
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| Keywords: | Data Mining time-interval sequential analysis Apriori algorithm monitor faults flowing industry |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
