Modelling and inversion techniques for thickness measurement of multi-layered structures in eddy current testing

Huang, Pingjie; Zhang, Guangxin; Hou, Dibo; Ze-kui, Zhou; Wu, Zhonghua

doi:10.1784/insi.2006.48.7.406

Cited by 5 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, as far as multilayered structures such as aeronautical assemblies are concerned, the NDE is an 'ill-posed' problem, the resolution of which is reputedly difficult [3]. To solve this problem, several methods based on the analytical model of an air cored coil or based on neural networks have been proposed [4,5]. In this Letter, we investigate the relationship between the variations of the normalised impedance of a cup-core EC sensor and the distance between two electrically conducting parts of a metallic assembly.…”

mentioning

confidence: 99%

Interactions of an eddy current sensor and a multilayered structure

et al. 2010

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 99%

Interactions of an eddy current sensor and a multilayered structure

et al. 2010

View full text Add to dashboard Cite

show abstract

“…The authors evaluate the advantages and limitations of each technique and emphasize the importance of combining multiple NDT methods to obtain comprehensive information about structural conditions. [9] The paper focus on reliability analysis methods for structural health monitoring systems. They discuss the challenges associated with reliability assessment and present various techniques for evaluating the performance of SHM systems.…”

Section: Conclusion: LI Et Al's Review Emphasizes the Significance Of...mentioning

confidence: 99%

Structural Health Monitoring for Civil Engineering Infrastructure

Negi¹

2021

MSEA

View full text Add to dashboard Cite

Structural health monitoring (SHM) plays a vital role in ensuring the integrity, safety, and reliability of civil engineering infrastructure. With the increasing complexity and aging of structures, the need for effective monitoring systems has become paramount. This abstract presents an overview of the field of structural health monitoring, highlighting its significance in civil engineering and exploring various techniques and technologies used for monitoring the health of infrastructure.The objective of structural health monitoring is to detect, assess, and predict the condition of structures in real-time, enabling proactive maintenance and minimizing the risk of catastrophic failures. Traditional inspection methods, such as visual inspection, have limitations in terms of cost, accuracy, and coverage. SHM provides continuous and automated monitoring, enabling the collection of data from various sensors installed on the structure. These sensors capture data related to structural behaviour, environmental conditions, and loading conditions, among others.This abstract delves into the different types of sensors employed in SHM for civil engineering infrastructure. These sensors include strain gauges, accelerometers, displacement transducers, temperature sensors, and corrosion sensors. Strain gauges measure the strain or deformation experienced by the structure, while accelerometers detect vibrations and dynamic responses. Displacement transducers monitor the movement or displacement of specific points, providing valuable information about structural deformations. Temperature sensors help in understanding the effect of temperature variations on the structural behaviour. Corrosion sensors detect the presence of corrosion, a significant issue in infrastructure deterioration.

show abstract

A model-based approach for inspection of aeronautical multi-layered structures by eddy currents

Cung

Nguyen

Joubert

et al. 2019

COMPEL

View full text Add to dashboard Cite

Purpose The purpose of this paper is to propose an approach, which is easy to implement, for estimating the thickness of the air layer that may separate metallic parts in some aeronautical assemblies, by using the eddy current method. Design/methodology/approach Based on an experimental study of the coupling of a magnetic cup core coil sensor with a metallic layered structure (consisting of first metal layer/air layer/second metal layer), which is confirmed by finite element modelling simulations, an inversion technique relying on a polynomial forward model of the coupling is proposed to estimate the air layer thickness. The least squares and the nonnegative least squares algorithms are applied and analysed to obtain the estimation results. Findings The choice of an appropriate inversion technique to optimize the estimation results is dependent on the signal-to-noise ratio of measured data. The obtained estimation error is smaller than a few percent, for both simulated and experimental data. The proposed approach can be used to estimate both the air layer thickness and the second metal layer thickness simultaneously/separately. Originality/value This model-based approach is easy to implement and available to all types of eddy current sensors.

show abstract

Modelling and inversion techniques for thickness measurement of multi-layered structures in eddy current testing

Cited by 5 publications

References 5 publications

Interactions of an eddy current sensor and a multilayered structure

Interactions of an eddy current sensor and a multilayered structure

Structural Health Monitoring for Civil Engineering Infrastructure

A model-based approach for inspection of aeronautical multi-layered structures by eddy currents

Contact Info

Product

Resources

About