Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1784776535042949120 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9416668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT waszczukmłynskaaleksandra faultidentificationinmembranestructuresusingthehilberttransforms AT gałeziaadam faultidentificationinmembranestructuresusingthehilberttransforms AT stanisławradkowski faultidentificationinmembranestructuresusingthehilberttransforms |