Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8038692 | CIRP Annals - Manufacturing Technology | 2018 | 4 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Fei Tao, Meng Zhang, Yushan Liu, A.Y.C. Nee,