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Fault Identification in Membrane Structures Using the Hilbert Transforms

Fault diagnostics present a crucial technical issue in the areas of both the condition monitoring of machines and the monitoring of structural health. The identification of faults at an early stage in their development has an immense effect on the safety of monitored structures. Correct identificati...

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Autores principales: Waszczuk-Młyńska, Aleksandra, Gałęzia, Adam, Stanisław, Radkowski
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416668/
https://www.ncbi.nlm.nih.gov/pubmed/36015984
http://dx.doi.org/10.3390/s22166224
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author Waszczuk-Młyńska, Aleksandra
Gałęzia, Adam
Stanisław, Radkowski
author_facet Waszczuk-Młyńska, Aleksandra
Gałęzia, Adam
Stanisław, Radkowski
author_sort Waszczuk-Młyńska, Aleksandra
collection PubMed
description Fault diagnostics present a crucial technical issue in the areas of both the condition monitoring of machines and the monitoring of structural health. The identification of faults at an early stage in their development has an immense effect on the safety of monitored structures. Correct identification allows for the monitoring of the development of faults and the choosing of optimal operation strategies. This article discusses a method of monitoring structural health, based on the application of the Hilbert transforms (GHT and FrHT) for detecting fault formations and their development in membrane structures. A signal resulting from the HT is analyzed using spectral analysis to identify features indicating the technical state.
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spelling pubmed-94166682022-08-27 Fault Identification in Membrane Structures Using the Hilbert Transforms Waszczuk-Młyńska, Aleksandra Gałęzia, Adam Stanisław, Radkowski Sensors (Basel) Article Fault diagnostics present a crucial technical issue in the areas of both the condition monitoring of machines and the monitoring of structural health. The identification of faults at an early stage in their development has an immense effect on the safety of monitored structures. Correct identification allows for the monitoring of the development of faults and the choosing of optimal operation strategies. This article discusses a method of monitoring structural health, based on the application of the Hilbert transforms (GHT and FrHT) for detecting fault formations and their development in membrane structures. A signal resulting from the HT is analyzed using spectral analysis to identify features indicating the technical state. MDPI 2022-08-19 /pmc/articles/PMC9416668/ /pubmed/36015984 http://dx.doi.org/10.3390/s22166224 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 Article
Waszczuk-Młyńska, Aleksandra
Gałęzia, Adam
Stanisław, Radkowski
Fault Identification in Membrane Structures Using the Hilbert Transforms
title Fault Identification in Membrane Structures Using the Hilbert Transforms
title_full Fault Identification in Membrane Structures Using the Hilbert Transforms
title_fullStr Fault Identification in Membrane Structures Using the Hilbert Transforms
title_full_unstemmed Fault Identification in Membrane Structures Using the Hilbert Transforms
title_short Fault Identification in Membrane Structures Using the Hilbert Transforms
title_sort fault identification in membrane structures using the hilbert transforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416668/
https://www.ncbi.nlm.nih.gov/pubmed/36015984
http://dx.doi.org/10.3390/s22166224
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AT gałeziaadam faultidentificationinmembranestructuresusingthehilberttransforms
AT stanisławradkowski faultidentificationinmembranestructuresusingthehilberttransforms