3-D-Printed CSRR Array Sensor With a Resnet-FC Algorithm for Simultaneous Temperature and Humidity Detection

Complementary split ring resonator (CSRR)-based sensors have great potential in structural health monitoring (SHM) due to their characteristics of not requiring power supply during operation, no need for signal transmission through leads, and lower maintenance costs. Nevertheless, for practical applications, multiparameter acquisition ability as well as a highly cost-effective and efficient fabrication method is desired for CSRR sensors. In this article, a 3-D printed CSRR array sensor is developed with a Resnet-FC algorithm for simultaneous detection of temperature and humidity. Based on the high precision and fast molding speed of digital light processing (DLP) 3-D printing technology, the integrated manufacturing of CSRR sensors is achieved. The sensitivities of the device to temperature and humidity within the range of 40 °C–90 °C and 42%–90%RH are 610 kHz/°C and 1.851 MHz/%RH, respectively. A Resnet-FC algorithm trained with experimental data can effectively decouple the signal responses of temperature and humidity. The predicted temperature and humidity values closely match the experimental values, with errors of 5% approximately.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-23
DOI
https://doi.org/10.1109/jsen.2024.3461740
Citations
3
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3-D-Printed CSRR Array Sensor With a Resnet-FC Algorithm for Simultaneous Temperature and Humidity Detection

Chen Yang, Wenfei Chen, Yang Gao, Xijin Hua et al.
3 citations
IEEE Sensors Journal
Neural Networks and Applications
1.04
article

3-D-Printed CSRR Array Sensor With a Resnet-FC Algorithm for Simultaneous Temperature and Humidity Detection

Chen Yang, Wenfei Chen, Yang Gao, Xijin Hua, Yue Hu, Jinglong Bi, Kaihao Liang, Fuzhen
article en
3 citations

Abstract

Complementary split ring resonator (CSRR)-based sensors have great potential in structural health monitoring (SHM) due to their characteristics of not requiring power supply during operation, no need for signal transmission through leads, and lower maintenance costs. Nevertheless, for practical applications, multiparameter acquisition ability as well as a highly cost-effective and efficient fabrication method is desired for CSRR sensors. In this article, a 3-D printed CSRR array sensor is developed with a Resnet-FC algorithm for simultaneous detection of temperature and humidity. Based on the high precision and fast molding speed of digital light processing (DLP) 3-D printing technology, the integrated manufacturing of CSRR sensors is achieved. The sensitivities of the device to temperature and humidity within the range of 40 °C–90 °C and 42%–90%RH are 610 kHz/°C and 1.851 MHz/%RH, respectively. A Resnet-FC algorithm trained with experimental data can effectively decouple the signal responses of temperature and humidity. The predicted temperature and humidity values closely match the experimental values, with errors of 5% approximately.

IEEE Sensors JournalVol. 24(21)
East China University of Science and Technology (CN), University of Exeter (GB)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 19%
Neural Networks and Applications
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.