학술논문

A Simple Jacobian Matrix-Based Approach for Calibrating the Sensing Depth of Coplanar Capacitive Sensors
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 23(20):24652-24660 Oct, 2023
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Sensors
Electrodes
Jacobian matrices
Capacitive sensors
Probes
Capacitance
Calibration
Coplanar capacitive sensors (CSSs)
coplanar capacitive testing (CCT)
Jacobian matrix (JM)
sensing depths
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
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.