Research on edge identification of a defect using pulsed eddy current based on principal component analysis

Yang, Banghua; Luo, Fei; Han, Deqiang

doi:10.1016/j.ndteint.2006.12.005

Cited by 18 publications

(6 citation statements)

References 6 publications

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“…9 Typical PEC signals obtained by using a Hall-device-based probe thickness of ferromagnetic plates. Another example is the kurtosis coefficient, which represents the craggedness level of a PEC response signal, that is used in sample's edge identification [52].…”

Section: Signal Feature and Feature Extractionmentioning

confidence: 99%

See 1 more Smart Citation

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Sophian

Tian

Fan

2017

Chin. J. Mech. Eng.

176

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Pulsed eddy current (PEC) non-destructive testing and evaluation (NDT&E) has been around for some time and it is still attracting extensive attention from researchers around the globe, which can be witnessed through the reports reviewed in this paper. Thanks to its richness of spectral components, various applications of this technique have been proposed and reported in the literature covering both structural integrity inspection and material characterization in various industrial sectors. To support its development and for better understanding of the phenomena around the transient induced eddy currents, attempts for its modelling both analytically and numerically have been made by researchers around the world. This review is an attempt to capture the state-of-the-art development and applications of PEC, especially in the last 15 years and it is not intended to be exhaustive. Future challenges and opportunities for PEC NDT&E are also presented.

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Section: Signal Feature and Feature Extractionmentioning

confidence: 99%

“…Other examples of work where PCA has been used are introduced in Refs. [14], [28], [48], [52], [55][56][57][58][59][60].…”

Section: Signal Feature and Feature Extractionmentioning

confidence: 99%

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Sophian

Tian

Fan

2017

Chin. J. Mech. Eng.

176

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“…After the transmutation, the variance of the i th element equalize λ i . To discover the adequate number of PCs to discriminate home electrical appliances, the accumulative contributory ratio (ACR) can be a useful parameter [41]. If the obtained eigenvalues are sorted in descending order, the ACR related to the first k PCs is explained as…”

Section: Principal Component Analysismentioning

confidence: 99%

“…Having obtained the CM and computed the eigenvalues, we arrange their eigenvectors in descending order. To create the feature space, finding the first k PCs in which their γ k exceeds 0.85 is necessary [41]. After finding these k principal components and placing their eigenvectors in a matrix, the feature matrix I is formed.…”

Section: Principal Component Analysismentioning

confidence: 99%

Improving Residential Load Disaggregation for Sustainable Development of Energy via Principal Component Analysis

et al. 2020

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The useful planning and operation of the energy system requires a sustainability assessment of the system, in which the load model adopted is the most important factor in sustainability assessment. Having information about energy consumption patterns of the appliances allows consumers to manage their energy consumption efficiently. Non-intrusive load monitoring (NILM) is an effective tool to recognize power consumption patterns from the measured data in meters. In this paper, an unsupervised approach based on dimensionality reduction is applied to identify power consumption patterns of home electrical appliances. This approach can be utilized to classify household activities of daily life using data measured from home electrical smart meters. In the proposed method, the power consumption curves of the electrical appliances, as high-dimensional data, are mapped to a low-dimensional space by preserving the highest data variance via principal component analysis (PCA). In this paper, the reference energy disaggregation dataset (REDD) has been used to verify the proposed method. REDD is related to real-world measurements recorded at low-frequency. The presented results reveal the accuracy and efficiency of the proposed method in comparison to conventional procedures of NILM.

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“…PEC uses square pulse excitation to generate eddy currents, and the resultant transient responses of pickup coils are analyzed for feature extraction. In some cases, fairly simple analyses based on peak shape such as peak height and time to zero-crossing have been used to extract the information of interest [5], [7]. However, in general, the changes in shape are very subtle and more sophisticated techniques for analyzing the data are required.…”

mentioning

confidence: 99%

Real Time Pulsed Eddy Current Detection of Cracks in F/A-18 Inner Wing Spar Using Discriminant Separation of Modified Principal Components Analysis Scores

2014

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The aluminum inner wing spars of F/A-18 Hornet aircraft may undergo stress corrosion cracking along the spar between the fasteners that secure carbon-fiber/epoxy composite skin to the wing. Inspection of the spar through the wing skin is required to avoid wing disassembly. The thickness of the skin varies between 9 and 21 mm (0.36-0.83 in) and fasteners may be either titanium or ferrous. Pulsed eddy currents (PECs), generated by a probe centered over the fastener, demonstrate the capability of detecting simulated cracks within spars with the wing skin present. Comparison of signals from separate pick-up coils, mounted to either side of the excitation coil, is used to detect differences in induced eddy current fields, which arise in the presence of cracks. To overcome variability in PEC signal response due to variation in: 1) skin thickness; 2) fastener material and size; and 3) centering over fasteners, a large calibration data set is acquired. Multidimensional scores from a modified principal components analysis (PCA) of the data are reduced to 1-D using a discriminant analysis method. Under inspection conditions, calibration PCA scores combined with discriminant analysis permit rapid real time go/no-go PEC detection of cracks in F/A-18 inner wing spar.

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Research on edge identification of a defect using pulsed eddy current based on principal component analysis

Cited by 18 publications

References 6 publications

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Improving Residential Load Disaggregation for Sustainable Development of Energy via Principal Component Analysis

Real Time Pulsed Eddy Current Detection of Cracks in F/A-18 Inner Wing Spar Using Discriminant Separation of Modified Principal Components Analysis Scores

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