现代电子技术2024，Vol.47Issue(24)：38-46,9.DOI:10.16652/j.issn.1004-373x.2024.24.007
基于数字孪生和IETM的装备常规故障诊断
Equipment routine fault diagnosis based on digital twin and IETM
摘要
Abstract
Most of the common malfunctions that occur during the actual operation of equipment are caused by human operation,maintenance,and environmental factors.The conventional faults are verified during equipment development,testing,identification,and maintenance processes,with clear definitions and fault tree analysis conclusions.The digital twins can provide fast and interactive diagnostic possibilities for routine equipment failures.In order to improve the efficiency and interactive experience of conventional fault diagnosis,a digital twin based equipment conventional fault diagnosis model is proposed.On this basis,considering the good interactivity and user experience of the IETM,a conventional equipment fault diagnosis scheme based on twin data and IETM is designed.This scheme can convert the equipment fault tree into an IETM fault data module,which is stored in the IETM database to form a fault database.By means of fault tree analysis method,real-time twin data of equipment is used as input.Utilizing the interactivity of IETM,step-by-step fault diagnosis and isolation guidance operations are carried out by means of the process data module combined with fault data module,while providing maintenance operation guidance.When the real-time twin data of the equipment is not completely consistent with the fault information defined in the fault database,the case analysis method is used to calculate the similarity between the fault symptom information provided by the real-time twin data of the equipment and the clearly defined fault symptom information in the fault database,and a threshold for similarity is set for judgment.IETM is used to push corresponding fault data modules for corresponding fault diagnosis,isolation,and guidance.关键词
装备故障诊断/数字孪生/IETM/故障树分析/故障数据模块/实时孪生数据/相似度/隔离引导Key words
equipment fault diagnosis/digital twin/IETM/fault tree analysis/fault data module/real time twin data/similarity/isolation guidance分类
电子信息工程引用本文复制引用
吴家菊,孔令刚,康时嘉,左洪福,杨永辉,周小伟..基于数字孪生和IETM的装备常规故障诊断[J].现代电子技术,2024,47(24):38-46,9.基金项目
国家自然科学基金项目(U1933202) （U1933202）
装备预研领域基金项目(MJ-2020-Y-011) （MJ-2020-Y-011）
