Towards long‐transmission‐distance and semi‐active wireless strain sensing enabled by dual‐interrogation‐mode RFID technology
Autor(en): |
Qi‐Ang Wang
(State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China)
Cheng Zhang (State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China) Zhan‐Guo Ma (State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China) Gui‐Yue Jiao (School of Information and Control Engineering China University of Mining and Technology Xuzhou China) Xiao‐Wei Jiang (School of Information and Control Engineering China University of Mining and Technology Xuzhou China) Yi‐Qing Ni (National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) and Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong) Ying‐Chao Wang (State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China) Yu‐Tong Du (State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China) Gao‐Bo Qu (State Key Laboratory for Geomechanics and Deep Underground Engineering and School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou China) Jiandong Huang (School of Mines China University of Mining and Technology Xuzhou China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, September 2022, n. 11, v. 29 |
DOI: | 10.1002/stc.3069 |
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Datenseite - Reference-ID
10690863 - Veröffentlicht am:
24.09.2022 - Geändert am:
18.11.2022