1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment
Author(s): |
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: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, March 2022, n. 5, v. 21 |
Page(s): | 147592172110497 |
DOI: | 10.1177/14759217211049720 |
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data sheet - Reference-ID
10662019 - Published on:
23/03/2022 - Last updated on:
23/09/2022