Multispectral impedance quality testing of coil-coating system using principal component analysis

Miszczyk, A.; Darowicki, Kazimierz

doi:10.1016/j.porgcoat.2010.07.003

Cited by 20 publications

(12 citation statements)

References 24 publications

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“…In some of the linear correlation plots (as in Figure 6B–D) we showed that the protective quality predictions from the mathematical and physical models are the same. It has been suggested by others, that future impedance studies aimed at quicker analysis may include artificial neural networks (ANN), which may include principle component analysis 20–22, 27, 28; some of the data presented here supports the validity of those suggested approaches for evaluating the protective quality of coatings electrochemically as demonstrated by the three plots having correlation coefficients exceeding 0.9. However, highlighted by the seven plots (Figure 6A and Figure S1 Supporting Information) that show poor correlation (having coefficients ranging between 0.69 and 0.38), a mathematical‐only determination may fail to correctly ascertain protective quality.…”

Section: Discussionsupporting

confidence: 70%

Electrochemical Identification and Categorization of the Protective Quality of Intact and Damaged Coatings

2014

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Defective polymeric coatings that are particularly relevant in the conservation of outdoor metalwork, are analyzed using electrochemical impedance spectroscopy (EIS), validated by KramersKronig transformations, and modeled using electrical equivalent circuit models (EECs). Using twenty different coated panels of five different coating types, ten mathematical methods for categorizing the protective qualities of coatings are explored as simpler and faster alternatives to circuit modeling; three methods gave a perfect correlation with the category determined by circuit modeling. Our findings highlight the need for fitting data to EECs before relying upon purely mathematical parameters for evaluating protective coating quality.

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Section: Discussionsupporting

confidence: 70%

Electrochemical Identification and Categorization of the Protective Quality of Intact and Damaged Coatings

2014

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“…The equivalent circuit model as shown in Fig. 8 was based on CPE parameters at low and high frequencies (Miszczyk and Darowicki, 2010). Since the analysis is based on CPE, it is easier to describe using (Miszczyk and Darowicki, 2010); …”

Section: Resultsmentioning

confidence: 99%

Detection of bacterial endotoxin in food: New planar interdigital sensors based approach

Rahman

Mukhopadhyay

et al. 2013

Journal of Food Engineering

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“…Such set of eigen vectors defines a new uncorrelated dimensions of a coordinate system. Therefore the first principal component with the largest eigen values are the most discriminant ones [39], [41]. The results obtained as an outcome of the principal component analysis depict that annealing results in dramatic changes in the electrodes' gold layer morphology and improved surface smoothness.…”

Section: Pca Analysis-ec3-temperature151°c-210°c Annealmentioning

confidence: 89%

Post Annealing Performance Evaluation of Printable Interdigital Capacitive Sensors by Principal Component Analysis

Zia

Mukhopadhyay

et al. 2015

IEEE Sensors J.

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The surface roughness of thin-film gold electrodes induces instability in impedance spectroscopy measurements of capacitive interdigital printable sensors. Post-fabrication thermodynamic annealing was carried out at temperatures ranging from 30°C to 210°C in a vacuum oven and the variation in surface morphology of thin-film gold electrodes was observed by scanning electron microscopy. Impedance spectra obtained at different temperatures were translated into equivalent circuit models by applying complex nonlinear least square curvefitting algorithm. Principal component analysis was applied to deduce the classification of the parameters affected due to the annealing process and to evaluate the performance stability using mathematical model. Physics of the thermodynamic annealing was discussed based on the surface activation energies. The post anneal testing of the sensors validated the achieved stability in impedance measurement.Index Terms-Annealing, complex nonlinear least square curve fitting, capacitive interdigital sensors, electrochemical impedance spectroscopy, principal component analysis, printable interdigital sensors, sputtering, thin films.

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Multispectral impedance quality testing of coil-coating system using principal component analysis

Cited by 20 publications

References 24 publications

Electrochemical Identification and Categorization of the Protective Quality of Intact and Damaged Coatings

Electrochemical Identification and Categorization of the Protective Quality of Intact and Damaged Coatings

Detection of bacterial endotoxin in food: New planar interdigital sensors based approach

Post Annealing Performance Evaluation of Printable Interdigital Capacitive Sensors by Principal Component Analysis

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