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

Licence