| Residential College | false |
| Status | 已發表Published |
| Remaining useful life estimation combining two-step maximal information coefficient and temporal convolutional network with attention mechanism | |
| Yang, Zhi-Xin1; Yalan Jiang2; Li, Chaoshun2; Zhao, Yujie2; Wang, Xianbo3 | |
| 2021-01-18 | |
| Source Publication | IEEE Access
 |
| Indexed By | SCIE |
| Document Type | Journal article |
| Collection | Faculty of Science and Technology |
| Affiliation | 1.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau 2.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China 3.College of Electrical Engineering, Henan University of Technology, Zhengzhou, China |
| First Author Affilication | Faculty of Science and Technology |
| Recommended Citation GB/T 7714 | Yang, Zhi-Xin,Yalan Jiang,Li, Chaoshun,et al. Remaining useful life estimation combining two-step maximal information coefficient and temporal convolutional network with attention mechanism[J]. IEEE Access, 2021. |
| APA | Yang, Zhi-Xin., Yalan Jiang., Li, Chaoshun., Zhao, Yujie., & Wang, Xianbo (2021). Remaining useful life estimation combining two-step maximal information coefficient and temporal convolutional network with attention mechanism. IEEE Access. |
| MLA | Yang, Zhi-Xin,et al."Remaining useful life estimation combining two-step maximal information coefficient and temporal convolutional network with attention mechanism".IEEE Access (2021). |
| Files in This Item: | There are no files associated with this item. | |||||
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