A Simple Jacobian Matrix-Based Approach for Calibrating the Sensing Depth of Coplanar Capacitive Sensors

被引:0
|
作者
Li, Ruihang [1 ]
Zhang, Yuyan [1 ]
Pan, Zhao [1 ]
Rong, Jiajia [1 ]
Wen, Yintang [1 ]
Zhai, Yujie [1 ]
机构
[1] Yanshan Univ, Key Lab Measurement Technol & Instrumentat Hebei, Qinhuangdao 066004, Hebei, Peoples R China
关键词
Sensors; Electrodes; Jacobian matrices; Capacitive sensors; Probes; Capacitance; Calibration; Coplanar capacitive sensors (CSSs); coplanar capacitive testing (CCT); Jacobian matrix (JM); sensing depths; DESIGN PRINCIPLES; TOMOGRAPHY;
D O I
10.1109/JSEN.2023.3311792
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Coplanar capacitive testing (CCT) is a new nondestructive testing (NDT) technique that has been developed in recent years. There is no consensus on the sensing depth of coplanar capacitive sensors (CCSs). The sensing depths of regularly used rectangular, circular, and triangular probes were examined in this work. Using the sample lifting method, the sensing depths of the probes were calibrated using samples of various thicknesses made of wood, glass, and acrylic. The experimental findings showed that the sensing depth of the probe varied depending on the sample material and thickness. A novel Jacobian matrix (JM) method for calculating the sensing depth was presented and tested, and its validity and accuracy were verified by comparing the sample lifting results and analyzing the defect detection results. Further discussion focused on the effect of grid division on JM results and the calibration of JM to probe sensing depths of different sizes and separations. With matched fine grid divisions, JM provided unique sensing depths, which may serve as a reference for the consensus CCS sensing depth.
引用
收藏
页码:24652 / 24660
页数:9
相关论文
共 50 条
  • [41] COMMUNICATING PLANNING CHANGE ACTIVITY USING A MATRIX-BASED APPROACH
    De Lessio, Mark P.
    Koh, Edwin C. Y.
    Wynn, David C.
    Clarkson, P. John
    PROCEEDINGS OF THE 11TH INTERNATIONAL DSM CONFERENCE, 2009, : 285 - 288
  • [42] Matrix-based approach to sequence analysis in multiple reentrant flowlines
    Petrovic, Tamara
    Bogdan, Stjepan
    2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2008, : 1153 - 1157
  • [43] A Simple Wristband Based on Capacitive Sensors for Recognition of Complex Hand Motions
    Cheng, Jingyuan
    Bahle, Gernot
    Lukowicz, Paul
    2012 IEEE SENSORS PROCEEDINGS, 2012, : 1436 - 1439
  • [44] Capacitive Sensing-Based Charge Measurement for Space Inertial Sensors
    Li, Honggang
    Li, Guilin
    Hong, Wei
    Chen, Bingxue
    Chu, Liangyu
    Zhao, Menghao
    Xiao, Chunyu
    Jia, Bowen
    Bai, Yanzheng
    Zhou, Zebing
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
  • [45] A covariance matrix-based spectrum sensing technology exploiting stochastic resonance and filters
    Lu, Jin
    Huang, Ming
    Yang, Jingjing
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2021, 2021 (01)
  • [46] A covariance matrix-based spectrum sensing technology exploiting stochastic resonance and filters
    Jin Lu
    Ming Huang
    Jingjing Yang
    EURASIP Journal on Advances in Signal Processing, 2021
  • [47] Homography Matrix-Based Local Motion Consistent Matching for Remote Sensing Images
    Liu, Junyuan
    Liang, Ao
    Zhao, Enbo
    Pang, Mingqi
    Zhang, Daijun
    REMOTE SENSING, 2023, 15 (13)
  • [48] A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach
    Li, Shaoyong
    Li, Tianrui
    ROUGH SETS AND KNOWLEDGE TECHNOLOGY, RSKT 2014, 2014, 8818 : 173 - 183
  • [49] A simple approach for sensing and accurate prediction of multiple organic vapors by sensors based on CuO nanowires
    Kulkarni, Saraswati
    Ghosh, Ruma
    SENSORS AND ACTUATORS B-CHEMICAL, 2021, 335
  • [50] A matrix-based approach for maintenance of approximations under the variation of object set
    Wang, L. (ezhoulei@163.com), 1992, Science Press (50):