利用数据挖掘技术分析实验室设备故障规律与维护策略
Using Data Mining Techniques to Analyze the Failure Patterns and Maintenance Strategies of Laboratory Equipment
吴佳霖 1李桂玉 1李钰1
作者信息
- 1. 北京科技大学天津学院,天津 301830
- 折叠
摘要
该文提出利用数据挖掘技术分析实验室设备的故障规律,并根据分析结果制定有效的维护策略——通过收集和分析设备运行数据和维护记录,识别设备的常见故障模式,提高故障诊断的准确性和效率.基于数据分析,探究预防性维护和修复性维护策略,以降低设备的故障率,减少维修时间和经济成本.
Abstract
This article proposes to use data mining technology to analyze the fault patterns of laboratory equipment,and based on the analysis results,develop effective maintenance strategies-by collecting and analyzing equipment operating data and maintenance records,identify common fault modes of equipment,and improve the accuracy and efficiency of fault diagnosis.Based on data analysis,explore preventive and corrective maintenance strategies to reduce equipment failure rates,repair time,and economic costs.
关键词
数据挖掘/实验室设备/故障分析/维护策略Key words
data mining/laboratory equipment/fault analysis/maintenance strategy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据