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Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation
Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the properties of components and inspect for flaws and anomalies in structures without altering the part’s integrity or causing damage to the component being tested. This includes monitoring materials’ condition (Mate...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185454/ https://www.ncbi.nlm.nih.gov/pubmed/35684675 http://dx.doi.org/10.3390/s22114055 |
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author | Taheri, Hossein Gonzalez Bocanegra, Maria Taheri, Mohammad |
author_facet | Taheri, Hossein Gonzalez Bocanegra, Maria Taheri, Mohammad |
author_sort | Taheri, Hossein |
collection | PubMed |
description | Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the properties of components and inspect for flaws and anomalies in structures without altering the part’s integrity or causing damage to the component being tested. This includes monitoring materials’ condition (Material State Awareness (MSA)) and health of structures (Structural Health Monitoring (SHM)). NDE techniques are highly valuable tools to help prevent potential losses and hazards arising from the failure of a component while saving time and cost by not compromising its future usage. On the other hand, Artificial Intelligence (AI) and Machine Learning (ML) techniques are useful tools which can help automating data collection and analyses, providing new insights, and potentially improving detection performance in a quick and low effort manner with great cost savings. This paper presents a survey on state of the art AI-ML techniques for NDE and the application of related smart technologies including Machine Vision (MV) and Digital Twins in NDE. |
format | Online Article Text |
id | pubmed-9185454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91854542022-06-11 Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation Taheri, Hossein Gonzalez Bocanegra, Maria Taheri, Mohammad Sensors (Basel) Review Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the properties of components and inspect for flaws and anomalies in structures without altering the part’s integrity or causing damage to the component being tested. This includes monitoring materials’ condition (Material State Awareness (MSA)) and health of structures (Structural Health Monitoring (SHM)). NDE techniques are highly valuable tools to help prevent potential losses and hazards arising from the failure of a component while saving time and cost by not compromising its future usage. On the other hand, Artificial Intelligence (AI) and Machine Learning (ML) techniques are useful tools which can help automating data collection and analyses, providing new insights, and potentially improving detection performance in a quick and low effort manner with great cost savings. This paper presents a survey on state of the art AI-ML techniques for NDE and the application of related smart technologies including Machine Vision (MV) and Digital Twins in NDE. MDPI 2022-05-27 /pmc/articles/PMC9185454/ /pubmed/35684675 http://dx.doi.org/10.3390/s22114055 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Taheri, Hossein Gonzalez Bocanegra, Maria Taheri, Mohammad Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title | Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title_full | Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title_fullStr | Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title_full_unstemmed | Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title_short | Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation |
title_sort | artificial intelligence, machine learning and smart technologies for nondestructive evaluation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185454/ https://www.ncbi.nlm.nih.gov/pubmed/35684675 http://dx.doi.org/10.3390/s22114055 |
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