RT Dissertation/Thesis
T1 Automation of the thermographic inspection: development of thermo-geometric algorithms for detection of pathologies supported by machine learning strategies
T2 Automatización de la inspección termográfica: desarrollo de algoritmos térmico-geométricos para detección de patologías apoyado en estrategias de machine learning
A1 Garrido González, Iván
K1 1206.01 Construcción de Algoritmos
K1 3311.02 Ingeniería de Control
K1 3305.22 Metrología de la Edificación
AB The thesis project of the doctoral student Iván Garrido González, Graduate in Energy Engineering from the University of Vigo and Master in Energy Efficiency in Building, Industry and Transport from the Polytechnic University of Madrid, is part of the objectives, contents and research activities linked to the research Project entitled "ENGINENCY. The Building Energy Efficiency Engine ", with reference FTIPILOT-2015-1-720661, funded by the European Commission in the Fast Track to Innovation 2015 call within the H2020 Program. The main objective of this thesis is the development of thermographic image processing algorithms for the automatic detection of pathologies that can be found in structures, with greater emphasis on those that affect their energy efficiency. It is about establishing synergies between existing developments of image processing with application to visible images and the equations that govern the physics of heat transfer and transport phenomena. In this way, the results will be adapted to the particularities of the images acquired with a thermal camera and the characteristics of the anomalies that are to be detected.Also, the developments of the thesis will contribute to the progress of the project "TERMOINVI. Development of thermographic methodologies for the measurement of in vitro trials of hyperthermia treatments ", funded by the University of Salamanca, establishing the basis for the extrapolation of algorithms developed for solid objects (structures) to cellular tissues.
YR 2021
FD 2021-12-28
LK http://hdl.handle.net/11093/2929
UL http://hdl.handle.net/11093/2929
LA eng
DS Investigo
RD 20-sep-2024