| 智能化工业以太网故障诊断体系研究 |
| |
| 引用本文： | 程澜,罗建,张鹰.智能化工业以太网故障诊断体系研究[J].航空计算技术,2012(4):124-126,130. |
| |
| 作者姓名： | 程澜 罗建 张鹰 |
| |
| 作者单位： | [1]西华师范大学计算机学院,四川南充637002 [2]南充建华中学,四川南充637000 |
| |
| 基金项目： | 四川省教育厅自然科学科研基金项目资助（09ZC014）;西华师范大学校基金项目资助（10A011） |
| |
| 摘 要： | 传统的工业以太网故障诊断系统智能化程度较低,无法预测故障,且成本较高。阐述了一种智能化的故障诊断体系并对其进行了分析,提出了一种建立在数据仓库、联机分析处理(OLAP)、决策支持系统(DSS)和数据挖掘技术基础上并适合于工业以太网的故障诊断解决方案,并探讨了一些实现的方法。
|
| 关 键 词： | 数据挖掘 数据仓库 决策支持系统 智能化 联机分析处理 |
Research on Intelligentized Fault Diagnosis System in Large Industrial Networks |
| |
| CHENG Lan,LUO Jian,ZHANG Ying.Research on Intelligentized Fault Diagnosis System in Large Industrial Networks[J].Aeronautical Computer Technique,2012(4):124-126,130. |
| |
| Authors: | CHENG Lan LUO Jian ZHANG Ying |
| |
| Institution: | 1. College of Computer Science, China West Normal University, Nanchong 637002, China ; 2. Nanchong Jianhua Middle School, Nanchong 637000, China) |
| |
| Abstract: | Traditional fault diagnosis system in large industrial networks isn＇t intelligentized and can＇t predict faults. It＇s also too expensive for industrial company. This paper describes an intelligentized fault diagnosis system, brings forward a new solution based on data warehouse, OLAP, DSS and data mining, which is suitable and practical. In addition, this paper discusses some methods which can be accomplished in IBM DB2 database. |
| |
| Keywords: | data mining data warehouse DSS intelligentized OLAP |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
