文献类型：期刊文献

中文题名：基于数字孪生的测试性验证技术

英文题名：Testability Verification Technology Based on Digital Twins

作者：袁剑平[1];李近[2];孙寒冰[3]

机构：[1]广东海洋大学海洋工程学院,广东湛江524088;[2]九江学院理学院,江西九江332005;[3]中船重工集团第七〇七研究所九江分部,江西九江332005

年份：2020

卷号：28

期号：8

起止页码：256

中文期刊名：计算机测量与控制

外文期刊名：Computer Measurement &Control

收录：CSTPCD

基金：国防科工局稳定支持课题:JCKYS2019604SXJQR-02。

语种：中文

中文关键词：数字孪生;测试性增长;数据融合

外文关键词：data twins;testability growth;data fusion

中文摘要：针对型号测试性验证工作中存在的验证周期长、验证时机滞后、验证环境受限等问题,开展了基于数字孪生技术的测试性验证技术研究,重点关注数字孪生技术框架和关键技术研究,包括基于数字孪生驱动的故障模式分析、基于数字孪生驱动的故障模式空间模拟、基于数字孪生驱动的故障模式分配与注入、基于数字孪生驱动的数据融合技术,以期实现装备全生命周期的测试性验证与增长。形成一套基于数字孪生驱动的测试性验证流程及方法,用于指导新研产品的测试性验证工作。

外文摘要：In this paper,for the reason of the verification cycle is long,the verification timing is delayed,and the verification environment is limited,we conduct a testability verification work based on digital twins technology,focus on the development of testability verification technology framework and key technologies based on digital twins,included the technology of the failure mode and effect analysis based on digital twins、the technology of simulation of failure mode space based on digital twins、the technology of failure mode sample allocation and injection based on digital twins、the data fusion technology based on digital twins,aim to achieve testability verification and growth of equipment life cycle.Finally,a set of test verification process based on digital twins driver is formed,which can be used to guide the test verification of new research products.