Pradere, C., Groz, M. M., Sommier, A., Abisset, E., Chevalier, S., Battaglia, J. L., & Batsale, J. C. (2020). Thermal resistance field estimations from IR thermography using multiscale Bayesian inference. Quantitative InfraRed Thermography Journal, 1–12. https://doi.org/10.1080/17686733.2020.1771529
List of the properties they characterized a defect.
Experimental set up used. It is defined by a sensor, and excitation and a sample. It has other properties such as front or rear face.
Processing methods for information extraction of an image or images.
Input of the Mathematical methods. It is defined by the Observables or the Measurements.
List of the different materials to define a sample.
Mathematical method to apply for processing experimental data.
Observable osberved by the sensor in the set up. Measurement measured by the Mathematical method. They have a type and a physical quantity.
Output of the Mathematical methods. It is defined by the Measurements.
Gaverina, L., Batsale, J. C., Sommier, A., & Pradere, C. (2017). Pulsed flying spot with the logarithmic parabolas method for the estimation of in-plane thermal diffusivity fields on heterogeneous and anisotropic materials. Journal of Applied Physics, 121(11). https://doi.org/10.1063/1.4978919
Parker, W. J., Jenkins, R. J., Butler, C. P., & Abbott, G. L. (1961). Flash method of determining thermal diffusivity, heat capacity, and thermal conductivity. Journal of Applied Physics, 32(9), 1679–1684. https://doi.org/10.1063/1.1728417
Sample to control. It has a material and a geometry (for example thickness).
Sensor used to observes the scene in the Experiment.
Thermal excitation used in the Experiment.
Use the maxima distribution to define the threshold.
Type of the observable or the measurement : spatially, temporally, etc
[21] Balageas, D., & Roche, J. M. (2014). Common tools for quantitative pulse and step-heating thermography-Part I: theoretical basis. https://doi.org/10.1080/17686733.2014.891324ï