1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment
Autor(en): |
Xin Zhang
(Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Jiangsu, China)
Hui Wang (Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Jiangsu, China) Borui Hou (Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Jiangsu, China) Jiawen Xu (Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Jiangsu, China) Ruqiang Yan (Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Jiangsu, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, März 2022, n. 5, v. 21 |
Seite(n): | 147592172110497 |
DOI: | 10.1177/14759217211049720 |
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10662019 - Veröffentlicht am:
23.03.2022 - Geändert am:
23.09.2022