structural health monitoring machine learning test bench dataset
Structural Health Monitoring (SHM) is a methodology in development that aims to achieve the autonomous supervision of engineering structures. In this project, which is meant to be a contribution for the implementation of this methodology in industrial processes, a whole SHM test bench has been designed. This test bench consists of a steel bar, which is the structure under study, fixed to a metallic support, an excitation system that provokes vibrations on the bar and a data acquisition system that captures the induced vibrations by means of three accelerometers and processes and organizes the data to store it next. All this process has been automated with the help of the NI USB 6356 data acquisition board and Matlab scripts. In addition, Intelligent Data Analysis (IDA) applied to fault detection and diagnosis has been used to analyze the acquired data in order to make statements about the structural health of the studied system by means of Machine Learning algorithms.
TFG dirigido en el equipo de investigación GSDPI http://isa.uniovi.es/GSDPI
Actividad realizada en el marco del proyecto DPI2015-69891-C2-2-R, financiada por el Ministerio de Economía y Competitividad (MINECO), Programa Estatal de I+D+i Orientada a los Retos de la Sociedad y por el Fondo Europeo de Desarrollo Regional (FEDER) "Una manera de hacer Europa"