Published: 16 June 2022| Version 1 | DOI: 10.17632/fzw7v49m6n.1
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.
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
Universitatea Babes-Bolyai Facultatea de Chimie si Inginerie Chimica
Artificial Neural Networks, Machine Learning, Training