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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Main Authors: Aleksandra Waszczuk-Młyńska, Adam Gałęzia, Radkowski Stanisław
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/16/6224
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author Aleksandra Waszczuk-Młyńska
Adam Gałęzia
Radkowski Stanisław
author_facet Aleksandra Waszczuk-Młyńska
Adam Gałęzia
Radkowski Stanisław
author_sort Aleksandra Waszczuk-Młyńska
collection DOAJ
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 doaj.art-308ffa47f08f4876ba98cd2ee413be332023-12-03T14:27:20ZengMDPI AGSensors1424-82202022-08-012216622410.3390/s22166224Fault Identification in Membrane Structures Using the Hilbert TransformsAleksandra Waszczuk-Młyńska0Adam Gałęzia1Radkowski Stanisław2Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84 St., 02-524 Warsaw, PolandFaculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84 St., 02-524 Warsaw, PolandFaculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84 St., 02-524 Warsaw, PolandFault 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.https://www.mdpi.com/1424-8220/22/16/6224Hilbert transformgeneralized Hilbert transformspectral momentsdamage detectionmembrane structure
spellingShingle Aleksandra Waszczuk-Młyńska
Adam Gałęzia
Radkowski Stanisław
Fault Identification in Membrane Structures Using the Hilbert Transforms
Sensors
Hilbert transform
generalized Hilbert transform
spectral moments
damage detection
membrane structure
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 Hilbert transform
generalized Hilbert transform
spectral moments
damage detection
membrane structure
url https://www.mdpi.com/1424-8220/22/16/6224
work_keys_str_mv AT aleksandrawaszczukmłynska faultidentificationinmembranestructuresusingthehilberttransforms
AT adamgałezia faultidentificationinmembranestructuresusingthehilberttransforms
AT radkowskistanisław faultidentificationinmembranestructuresusingthehilberttransforms