Electromagnetic Induction Imaging of Metallic Objects at Multiple Depths

Ravan, Maryam; Amineh, Reza K.; Hussein, Anwar; Simanov, Oleksiy; Agarwal, Ashutosh

doi:10.1109/lmag.2019.2962761

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…The total responses E O i (φ k , z l ) with the presence of the OUTs on all the imaged surfaces are measured over the aperture. Using the convolution theory, these responses can be written as the sum of the convolutions of the PSF for each imaged surface at r j , E CO i,j (φ k , z l ), with the shape function of the OUTs for the corresponding surface f j (φ k , z l ) as [24]:…”

Section: Theorymentioning

confidence: 99%

Fast and Robust Capacitive Imaging of Cylindrical Non-Metallic Media

et al. 2021

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In this paper, a unique approach to the imaging of non-metallic media using capacitive sensing is presented. By using customized sensor plates in single-ended and differential configurations, responses to hidden objects can be captured over a cylindrical aperture surrounding the inspected medium. Then, by processing the acquired data using a novel imaging technique based on the convolution theory, Fourier and inverse Fourier transforms, and exact low resolution electromagnetic tomography (eLORETA), images are reconstructed over multiple radial depths using the acquired sensor data. Imaging hidden objects over multiple depths has wide range of applications, from biomedical imaging to nondestructive testing of the materials. Performance of the proposed imaging technique is demonstrated via experimental results.

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Section: Theorymentioning

confidence: 99%

Fast and Robust Capacitive Imaging of Cylindrical Non-Metallic Media

et al. 2021

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“…Inductive sensors have already been widely applied to the oil debris monitoring in an aero-engine, wind turbine, etc. In recent years, the electromagnetic induction imaging of metallic objects based on the inductive sensors are well developed, mainly applied in industrial high conductive flow imaging, which is a major trend of the development of inductive sensors [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine

Jiang,

Zuo,

Zhong

et al. 2024

Applied Sciences

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In view of the high false alarm rate in the oil debris monitoring results of the triple-coil inductive sensor in the transmission lubrication system of the aero-engine, a new debris signal processing method based on inductive monitoring is proposed. A time domain analysis is carried out first, and the signal energy is the most effective index to distinguish the debris signature from the noise signature. On this basis, signal energy values within a fixed-length sliding window is processed through the histogram. Finally, a threshold is set for the detection of the debris signature, which is based on the distribution of data within the histogram. This method is applied to the experimental data from a test run of an aero-engine, and the results show that all the debris is detected even if part of it appears during a change in the working condition of the aero-engine. Therefore, this method shows satisfactory results in debris detection accuracy and especially the inhibition of false alarms. It is also applicable for real-time monitoring due to the similarity between the movement of the sliding window and real-time data acquisition. In addition, it is applicable for various sensing principles, including but not limited to the inductive sensor signal, since the detection performance is only related to the signal itself.

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“…Besides, mechanical loads or changes in temperature in operation might induce a decompensation signal between the coils, which carries additional interference. Some papers suggest using a single coil for real-time 3D imaging in biomedical applications [23,24]. Enough data can be collected by sampling readings (i) at several levels of exciting current and (ii) using capacitors varying in capacity.…”

Section: Introductionmentioning

confidence: 99%

Developing a Combined Method for Detection of Buried Metal Objects

et al. 2021

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This paper discusses the author-developed novel method for the detection of buried metal objects that combines two basic subsurface sensing methods: one based on changes in the electromagnetic field parameters as induced by the inner or surficial impedance of the medium when affected by a propagating magnetic field; and one based on changes in the input impedance of the receiver as induced by the electromagnetic properties of the probed medium. The proposed method utilizes three instrumentation channels: two primary channels come from the ferrite magnetic antenna (the receiver), where the first channel is used to measure the current voltage amplitude of the active input signal component, while the second channel measures the current voltage amplitude of the reactive input signal component; an additional (secondary) channel comes from the emitting frame antenna (the transmitter) to measure the current amplitude of the exciting current. This data redundancy proves to significantly improve the reliability and accuracy of detecting buried metal objects. Implementation of the computational procedures for the proposed method helped to detect and identify buried objects by their specific electrical conductance and magnetic permeability, while also locating them depth-wise. The research team has designed an induction probe that contains two mutually orthogonal antennas (a frame transmitter and ferrite receiver); the authors herein propose a metal detector design that implements the proposed induction sensing method. Experimental research proved the developed combined method for searching for buried metal objects efficient and well-performing.

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Electromagnetic Induction Imaging of Metallic Objects at Multiple Depths

Cited by 6 publications

References 18 publications

Fast and Robust Capacitive Imaging of Cylindrical Non-Metallic Media

Fast and Robust Capacitive Imaging of Cylindrical Non-Metallic Media

A Wear Debris Signal Processing Method Based on Inductive Monitoring for Aero-Engine

Developing a Combined Method for Detection of Buried Metal Objects

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