Flexible, monolithic piezoelectric sensors for large-area structural impact monitoring via MUSIC-assisted machine learning
| Autor(en): |
Chen Zhu
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China)
Zhangyu Xu (State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China) Chao Hou (State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China) Xiaodong Lv (State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China) Shan Jiang (State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China) Dong Ye (State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China) Yongan Huang 
(State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China)
|
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, Mai 2023, n. 1, v. 23 |
| Seite(n): | 147592172311618 |
| DOI: | 10.1177/14759217231161812 |
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Datenseite - Reference-ID
10730061 - Veröffentlicht am:
30.05.2023 - Geändert am:
14.01.2024
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