期刊
CIRP ANNALS-MANUFACTURING TECHNOLOGY
卷 67, 期 1, 页码 169-172出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cirp.2018.04.055
关键词
Maintenance; Condition monitoring; Digital twin
资金
- NSFC [51522501]
Prognostics and health management (PHM) is crucial in the lifecycle monitoring of a product, especially for complex equipment working in a harsh environment. In order to improve the accuracy and efficiency of PHM, digital twin (DT), an emerging technology to achieve physical-virtual convergence, is proposed for complex equipment. A general DT for complex equipment is first constructed, then a new method using DT driven PHM is proposed, making effective use of the interaction mechanism and fused data of DT. A case study of a wind turbine is used to illustrate the effectiveness of the proposed method. (C) 2018 Published by Elsevier Ltd on behalf of CIRP.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据