Vibration response based crack diagnosis in beam-like structures using fuzzy inference system

Cracks in Beam-like structures can cause unexpected destruction of the structure leading to unintended damage to property and human life. This damage can be prevented by early detection of the crack. In this work, a Fuzzy Inference System is used to predict crack depth and location in a beam. The vi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Divine M. Ashigbi, Michael N. Sackey, Yesuenyeagbe A.K. Fiagbe, Jonathan Quaye-Ballard
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Structural health monitoring Beam Fuzzy logic Natural frequency Kurtosis Science Q
Acceso en línea:	https://doaj.org/article/f93cfd3d6d9a44f0ac3bb5f454d799a5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f93cfd3d6d9a44f0ac3bb5f454d799a5
record_format	dspace
spelling	oai:doaj.org-article:f93cfd3d6d9a44f0ac3bb5f454d799a52021-11-28T04:35:59ZVibration response based crack diagnosis in beam-like structures using fuzzy inference system2468-227610.1016/j.sciaf.2021.e01051https://doaj.org/article/f93cfd3d6d9a44f0ac3bb5f454d799a52021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2468227621003525https://doaj.org/toc/2468-2276Cracks in Beam-like structures can cause unexpected destruction of the structure leading to unintended damage to property and human life. This damage can be prevented by early detection of the crack. In this work, a Fuzzy Inference System is used to predict crack depth and location in a beam. The vibration signature of a healthy (uncrack) beam and a set of crack beams were obtained experimentally and characterized by the first Natural Frequency and statistical kurtosis. The inputs to the Fuzzy system were the first Natural Frequency and kurtosis of the vibration response signal. A system of Fuzzy rules was established by machine learning from the experimental data sets and applied to Triangular, Gaussian, Trapezoidal and Bell-shaped membership function sets. Dispersed standard deviations around the mean absolute errors were observed for the predictions. It was concluded that more clustered data sets for establishing the Fuzzy rules could improve precision of crack diagnosis. The presented study is capable of being used in an online Structural Health Monitoring algorithm to identify crack depth and location.Divine M. AshigbiMichael N. SackeyYesuenyeagbe A.K. FiagbeJonathan Quaye-BallardElsevierarticleStructural health monitoringBeamFuzzy logicNatural frequencyKurtosisScienceQENScientific African, Vol 14, Iss , Pp e01051- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Structural health monitoring Beam Fuzzy logic Natural frequency Kurtosis Science Q
spellingShingle	Structural health monitoring Beam Fuzzy logic Natural frequency Kurtosis Science Q Divine M. Ashigbi Michael N. Sackey Yesuenyeagbe A.K. Fiagbe Jonathan Quaye-Ballard Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
description	Cracks in Beam-like structures can cause unexpected destruction of the structure leading to unintended damage to property and human life. This damage can be prevented by early detection of the crack. In this work, a Fuzzy Inference System is used to predict crack depth and location in a beam. The vibration signature of a healthy (uncrack) beam and a set of crack beams were obtained experimentally and characterized by the first Natural Frequency and statistical kurtosis. The inputs to the Fuzzy system were the first Natural Frequency and kurtosis of the vibration response signal. A system of Fuzzy rules was established by machine learning from the experimental data sets and applied to Triangular, Gaussian, Trapezoidal and Bell-shaped membership function sets. Dispersed standard deviations around the mean absolute errors were observed for the predictions. It was concluded that more clustered data sets for establishing the Fuzzy rules could improve precision of crack diagnosis. The presented study is capable of being used in an online Structural Health Monitoring algorithm to identify crack depth and location.
format	article
author	Divine M. Ashigbi Michael N. Sackey Yesuenyeagbe A.K. Fiagbe Jonathan Quaye-Ballard
author_facet	Divine M. Ashigbi Michael N. Sackey Yesuenyeagbe A.K. Fiagbe Jonathan Quaye-Ballard
author_sort	Divine M. Ashigbi
title	Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
title_short	Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
title_full	Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
title_fullStr	Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
title_full_unstemmed	Vibration response based crack diagnosis in beam-like structures using fuzzy inference system
title_sort	vibration response based crack diagnosis in beam-like structures using fuzzy inference system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f93cfd3d6d9a44f0ac3bb5f454d799a5
work_keys_str_mv	AT divinemashigbi vibrationresponsebasedcrackdiagnosisinbeamlikestructuresusingfuzzyinferencesystem AT michaelnsackey vibrationresponsebasedcrackdiagnosisinbeamlikestructuresusingfuzzyinferencesystem AT yesuenyeagbeakfiagbe vibrationresponsebasedcrackdiagnosisinbeamlikestructuresusingfuzzyinferencesystem AT jonathanquayeballard vibrationresponsebasedcrackdiagnosisinbeamlikestructuresusingfuzzyinferencesystem
_version_	1718408356758028288

Vibration response based crack diagnosis in beam-like structures using fuzzy inference system

Ejemplares similares