Name
Title | ||
|---|---|---|
A digital twin-driven hybrid approach for the prediction of performance degradation in transmission unit of CNC machine tool |
Abstract | ||
|---|---|---|
•DT model based meta-action, collected data from multi-sensors on transmission unit.•Monitoring and simulation of performance degradation on the wear of transmission.•Combining the data-driven and the model-based method by particle filter algorithm.•Integrating mechanism and real-time data, mutual modified to a High fidelity model. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.rcim.2021.102230 | Robotics and Computer-Integrated Manufacturing |
Keywords | DocType | Volume |
Digital twin,Data-driven,Wear,Simulation,Performance degradation,CNCMT | Journal | 73 |
ISSN | Citations | PageRank |
0736-5845 | 1 | 0.35 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Yang | 1 | 10 | 3.26 |
| Yan Ran | 2 | 1 | 2.72 |
| Genbao Zhang | 3 | 8 | 10.98 |
| Hongwei Wang | 4 | 1 | 0.35 |
| Zongyi Mu | 5 | 1 | 0.35 |
| Shengguang Zhi | 6 | 1 | 0.35 |