Damage regression
Published: 16 June 2022| Version 1 | DOI: 10.17632/fzw7v49m6n.1
Contributor:
Cristian Tufisi
Description
The data contains the input and target values for training the machine learning model. The input contains the Relative Frequency Shifts for the first eight modes of transverse vibration for a cantilever beam that is affected by a transverse crack and in some scenarios also by imperfect boundary conditions.
Files
Steps to reproduce
Calculate the RFS by employing the method described in : Gillich, N.; Tufisi, C.;Sacarea, C.; Rusu, C.V.; Gillich, G.-R.;Praisach, Z.-I.; Ardeljan, M. BeamDamage Assessment Using Natural Frequency Shift and Machine Learning. Sensors 2022, 22, 1118. https://doi.org/10.3390/s22031118
Institutions
Universitatea Babes-Bolyai Facultatea de Chimie si Inginerie Chimica
Categories
Artificial Neural Networks, Machine Learning, Training