Sensitivity and Lift-Off Robustness of Magnetic Resonance Circuit Topologies for Enhanced WPT-Based ECT Systems

Electromagnetic sensors’ response is affected by lift-off variations, which are caused by nonmagnetic coating thickness, surface roughness or sensor vibrations. These variations affect eddy current testing (ECT) sensitivity, defect quantification and reconstruction of material properties. This paper compares different magnetic resonance circuit (MRC) topologies as signal conditioning for improving ECT system response to various lift-offs. The MRC is designed to operate at maximum energy, with the potential of several resonances, which lead to enhanced response for optimal and multiple feature extraction, improving signal-to-noise ratio (SNR) and increasing sensitivity to cracks. The proposed paper designs and investigates the effect of different MRC topologies connected to ECT systems to inspect a steel block with surface cracks. The performance comparison of the proposed systems provides the advantages and limitations of different MRC approaches for multiple resonance potentials, higher SNR and response sensitivity at different lift-off distances. The advanced MRC, featuring series and shunt topologies in each transmit and receive coil, is the most immune to noise, with an SNR of 49.9 dB at a 3.4 mm lift-off using its first peak frequency feature. Its response is less crack-sensitive, with a sensitivity of up to 1.5% at 0.6 mm lift-off.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-15
DOI
https://doi.org/10.1109/jsen.2025.3568699
Citations
1
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.73

Funders

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

Sensitivity and Lift-Off Robustness of Magnetic Resonance Circuit Topologies for Enhanced WPT-Based ECT Systems

Changrong Yang, Yichuang Sun, Lawal Umar Daura, Gui Yun Tian et al.
1 citations
IEEE Sensors Journal
Advancements in Semiconductor Devices and Circuit Design
0.73
article

Sensitivity and Lift-Off Robustness of Magnetic Resonance Circuit Topologies for Enhanced WPT-Based ECT Systems

Changrong Yang, Yichuang Sun, Lawal Umar Daura, Gui Yun Tian, Monika Roopak, Emmanuel Tashiwa Ibrahim
article en
1 citations

Abstract

Electromagnetic sensors’ response is affected by lift-off variations, which are caused by nonmagnetic coating thickness, surface roughness or sensor vibrations. These variations affect eddy current testing (ECT) sensitivity, defect quantification and reconstruction of material properties. This paper compares different magnetic resonance circuit (MRC) topologies as signal conditioning for improving ECT system response to various lift-offs. The MRC is designed to operate at maximum energy, with the potential of several resonances, which lead to enhanced response for optimal and multiple feature extraction, improving signal-to-noise ratio (SNR) and increasing sensitivity to cracks. The proposed paper designs and investigates the effect of different MRC topologies connected to ECT systems to inspect a steel block with surface cracks. The performance comparison of the proposed systems provides the advantages and limitations of different MRC approaches for multiple resonance potentials, higher SNR and response sensitivity at different lift-off distances. The advanced MRC, featuring series and shunt topologies in each transmit and receive coil, is the most immune to noise, with an SNR of 49.9 dB at a 3.4 mm lift-off using its first peak frequency feature. Its response is less crack-sensitive, with a sensitivity of up to 1.5% at 0.6 mm lift-off.

IEEE Sensors JournalVol. 25(13)
University of Hertfordshire (GB), University of Bedfordshire (GB), Newcastle University (GB)
Petroleum Technology Development Fund
Affordable and clean energy
Openalex Percentile: Top 28%
Advancements in Semiconductor Devices and Circuit Design
0.73
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.