微型电脑应用2025，Vol.41Issue(4)：45-49,5.
数字孪生驱动的企业设备故障诊断及应用研究
Digital Twin-driven Enterprise Equipment Fault Diagnosis and Application Research
摘要
Abstract
A pharmaceutical company has many devices on its manufacturing line,and fault diagnosis of the devices is of great importance for drug production.This paper proposes a digital twin equipment fault diagnosis and application method.A frame-work of equipment management fault diagnosis and mapping system based on digital twin is constructed,and a equipment fault diagnosis model is established and its validity is proved.A knowledge graph of equipment management data is constructed and a question-and-answer application is conducted to verify the effectiveness and feasibility of the framework.关键词
数字孪生/故障诊断/卷积神经网络/知识图谱Key words
digital twin/fault diagnosis/convolutional neural network/knowledge graph分类
信息技术与安全科学引用本文复制引用
陈雪军,梁川,李志博..数字孪生驱动的企业设备故障诊断及应用研究[J].微型电脑应用,2025,41(4):45-49,5.基金项目
江西省科技厅2022年重大研发专项03及5G项目(20224ABC03A15) （20224ABC03A15）
