基于联机分析处理技术的机电设备检修系统  

Mechanical & Electronic Service System Based on On-line Analytical Processing

作　　者：董兵 王丽琴[2] 靳越[2] 

机构地区：[1]河北省张北县大西湾乡人民政府,河北张家口076450 [2]张家口职业技术学院,河北张家口075000

出　　处：《现代电子技术》2009年第17期177-180,共4页Modern Electronics Technique

基　　金：国家自然科学基金重点资助项目(60234020);张家口市科技局项目(0801119b)

摘　　要：信号处理是机械设备故障诊断中的关键技术,起着对监测信号进行加工、变换,从中提取敏感故障征兆的重要作用。针对当前机械设备维修信息处理和分析过程中存在的问题,分析了联机分析处理和数据挖掘技术的相关理论,提出基于联机分析处理和数据挖掘技术实现在线监测数据的星型数据系统模型。系统采用客户/服务器结构,实践证明该系统可根据实际需要高效地对机械设备维修信息进行在线分析、预测,为进一步全面实现机电设备在线监测起到有效支持。Signal processing is a key techineque in the field of machinery equipment fault diagnosis. It plays an important role in transforming the measured signal and extracting the sensitive symptom of the fault. Current problems in the processing and analysis of the maintenance of machinery equipment are pointed out. The outline of on - line analytical processing and data mining is briefly introduced. On - line monitoring data system model with star data patterns is developed which based on OLAP and data mining. Based on Client/Server（C/S） structure, the system is capable of effectively analyzing and forecasting the online monitoring data of machinery equipment and get satisfactory result which can support vibration and mechanical electronic on - line monitoring.

关 键 词：机械设备 OLAP 数据处理 数据挖掘 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]