Pulsed Eddy-Current Detection of Loose Parts in Steam Generators

Johnston, Dylan P.; Buck, Jeremy A.; Underhill, P. R.; Morelli, Jordan; Krause, Thomas W.

doi:10.1109/jsen.2018.2793234

Cited by 16 publications

(4 citation statements)

References 20 publications

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“…Loose Parts media can develop children's economic attitudes, enhance creative and imaginative play, improve collaborative and socialization skills, and encourage communication and negotiation [ 17 , 18 ]. This affordable and adaptable approach to learning can inspire children's creativity and increase their engagement in play experiences [ 19 ].…”

Section: Literature Reviewmentioning

confidence: 99%

‘Treasure hunt’: Using loose parts media to develop social financial education model for early children

Wahyuni

Liza

Syahdan

et al. 2023

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

‘Treasure hunt’: Using loose parts media to develop social financial education model for early children

Wahyuni

Liza

Syahdan

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…Simultaneously, due to the sample's resistance, the eddy current also decays. The characteristic diffusion time, τ D , for these eddy currents in a material with σ conductivity, µ permeability, and d thickness is given by [17], [18]…”

Section: A Pulsed Eddy Currentmentioning

confidence: 99%

“…Another example that is close to the work carried out here is the application of PCA to separate the signal effects of tubes degradation with those of ferromagnetic support, as reported by Buck et al [17], owing to the large difference in the "relaxation times" for eddy current diffusion in the tube compared to those of the ferromagnetic support. Similar effort has also been carried out to detect loose parts in steam generator [18] and cracks in inner wing spar of an F/A-18 Hornet aircraft [19].…”

Section: Introductionmentioning

confidence: 99%

Decoupling the Influence of Wall Thinning and Cladding Thickness Variations in Pulsed Eddy Current Using Principal Component Analysis

et al. 2021

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Corrosion may develop and grow on steel pipes under layers of insulation and cladding. Inspection of the pipes through these protective layers is of paramount importance. Pulsed eddy current (PEC) is a primary non-destructive testing (NDT) technique candidate for this type of inspection as it requires no contact with the inspection material. To overcome the variability in PEC signals due to variations in the cladding thickness, a large measurement set is analysed in this paper using principal component analysis (PCA). The PCA approach decomposes the signal set into a number of uncorrelated variables that explain the maximum amount of the variance in the data set, in which, in this respect, efficiently separate the influences contributed by the difference in the material properties of cladding and pipe wall. The feasibility of using PCA to quantify simulated steel pipe wall independent of confounding cladding thickness variations is investigated. It is found that, with sufficient amount of data, the approach can effectively separate the influences contributed by the wall thickness variations from the cladding thickness variations.

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“…Among others, displacement sensors have an important role in many applications like the monitoring of Active Magnetic Bearings, AMBs, [1,2] gas turbine engines, [3], Blade Tip Clearance (BTC) in aero-engines [4], or the measurement of rotational angles in precision spherical joints [5]. Moreover, thanks to their intrinsic capabilities to also indirectly estimate material properties, they can be used to detect loose parts [6] and cracks [7][8][9], and measure other quantities (e.g., pressure, acceleration, wear of bearings [10] and disc cutters [11], or thicknesses [12,13]).…”

Section: Introductionmentioning

confidence: 99%

Effects of the Target on the Performance of an Ultra-Low Power Eddy Current Displacement Sensor for Industrial Applications

2020

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The demand for smart, low-power, and low-cost sensors is rapidly increasing with the proliferation of industry automation. In this context, an Ultra-Low Power Eddy Current Displacement Sensor (ULP-ECDS) targeting common industrial applications and designed to be embedded in wireless Industrial Internet of Things (IIoT) devices is presented. A complete characterization of the realized ULP-ECDS operating with different metallic targets was carried out. The choice of the considered targets in terms of material and thickness was inspired by typical industrial scenarios. The experimental results show that the realized prototype works properly with extremely low supply voltages, allowing for obtaining an ultra-low power consumption, significantly lower than other state-of-the-art solutions. In particular, the proposed sensor reached the best resolution of 2 µm in case of a carbon steel target when operated with a supply voltage of 200 mV and with a power consumption of 150 µW. By accepting a resolution of 12 µm, it is possible to further reduce the power consumption of the sensor to less than 10 µW. The obtained results also demonstrate how the performances of the sensor are strongly dependent on both the target and the demodulation technique used to extract the displacement information. This allowed for defining some practical guidelines that can help the design of effective solutions considering application-specific constraints.

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Pulsed Eddy-Current Detection of Loose Parts in Steam Generators

Cited by 16 publications

References 20 publications

‘Treasure hunt’: Using loose parts media to develop social financial education model for early children

‘Treasure hunt’: Using loose parts media to develop social financial education model for early children

Decoupling the Influence of Wall Thinning and Cladding Thickness Variations in Pulsed Eddy Current Using Principal Component Analysis

Effects of the Target on the Performance of an Ultra-Low Power Eddy Current Displacement Sensor for Industrial Applications

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