Random Load Pattern Recognition of Test Road Based on a Laser Direct Writing Carbon-Based Strain Sensor and a Deep Neural Network-Reference-Cited by-同舟云学术

Random Load Pattern Recognition of Test Road Based on a Laser Direct Writing Carbon-Based Strain Sensor and a Deep Neural Network

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ju Kuan¹^ORCID,Weng Shuo²^ORCID,Li Chun¹^ORCID,Zhao Lihui²^ORCID,Li Bo¹^ORCID,Hu Yue¹^ORCID,Gao Yang¹^ORCID,Xuan Fuzhen¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Intelligent Sensing and Detection, School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China

2. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

State Key Laboratory of New Textile Materials and Advanced Processing Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10256228.pdf?arnumber=10256228

Reference32 articles.

1. Transparent, Flexible Strain Sensor Based on a Solution-Processed Carbon Nanotube Network

2. Highly Sensitive and Stretchable Multidimensional Strain Sensor with Prestrained Anisotropic Metal Nanowire Percolation Networks

3. High-Strain Sensors Based on ZnO Nanowire/Polystyrene Hybridized Flexible Films

4. Ultra-sensitive strain sensors based on piezoresistive nanographene films

5. Aromatic polyimides as carbon precursors

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