| 聚类分析理论研究及在流程企业中的应用 |
| |
| 引用本文： | 闫伟,张浩,陆剑峰,袁磊. 聚类分析理论研究及在流程企业中的应用[J]. 计算机工程, 2006, 32(17): 19-21,2 |
| |
| 作者姓名： | 闫伟 张浩 陆剑峰 袁磊 |
| |
| 作者单位： | 1. 同济大学CIMS研究中心,上海,200092
2. 上海电力学院电力与自动化工程学院,上海,200092 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 采用数据挖掘中的聚类算法对流程企业的大量的历史数据进行分析，采用基于欧几里德距离的加权K-means算法建立了参数的聚类模型，分析簇团内不同相似度时的参数个数比例，得到参数点离核指数的定义。针对实时检测出的异常点，结合CBLOF(t)的概念，提出了一种新的离群指数的定义。以此为基础，有效地对设备的运行状况进行监控，从而起到设备运行优化和故障预警的作用。
|
| 关 键 词： | 聚类分析 加权K-means算法 离核指数 离群指数 流程企业 |
| 文章编号： | 1000-3428（2006）17-0019-03 |
| 收稿时间： | 2005-09-07 |
| 修稿时间： | 2005-09-07 |
Study of Clustering Analysis and Its Application in Process Industry |
| |
| YAN Wei,ZHANG Hao,LU Jianfeng,YUAN Lei. Study of Clustering Analysis and Its Application in Process Industry[J]. Computer Engineering, 2006, 32(17): 19-21,2 |
| |
| Authors: | YAN Wei ZHANG Hao LU Jianfeng YUAN Lei |
| |
| Affiliation: | 1. CIMS Center, Tongji University, Shanghai 200092; 2. School of Electric Tool and Control Engineering, Shanghai University of ELectric Power, Shanghai 200092 |
| |
| Abstract: | To monitor process industry's production,the large history data is analyzed by clustering algorithm.The equipment's parameters clustering models are built by Feature Weight's K-means algorithm.The proportion between quantity under different similarity factor and the whole cluster is calculated by different similarity methods,and then a new factor of scatter is defined.Based on the conception of CBLOF(t),a new definition of outlier is brought forward to study the real-time outlier when the equipments circulate.Based on the models,equipments process and monitor faults can be optimized. |
| |
| Keywords: | Clustering analysis Feature weight's K-means algorithm Factor of scatter Factor of outlier Process industry |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
