Aplicación de algoritmos de agrupamiento (clustering) para detección de defectos estructurales


Pedrola Piñol, Joan


From the first algorithm created by Ada Lovelace to the present day, programming has helped us solve countless problems. In this TFG it has been possible to apply the technique of classification algorithms to detect deformations. The clustering was performed on three CFDAC data matrices, obtained by means of a modal frequency analysis performed on three aluminum plates. Of these three matrices stated, two correspond to plates with deformations and the other corresponds to a plate without deformations. Once the experiment was completed, it was found that the variable used to characterize the arrays and solve the unsupervised classification problem could not solve the problem.



Menacho Solà-Morales, Joaquín 


IQS SE - Undergraduate Program in Industrial Engineering