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Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method

The paper analyzes in detail the influence of the Welch method on the estimation of fatigue life in the frequency domain. The aim is to examine how the setting of parameters, such as window size, weighting and overlap, affects the calculation of power spectral density (PSD) and thus lifetime. The pa...

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Detalles Bibliográficos
Autores principales: Kaľavský, Adam, Niesłony, Adam, Huňady, Róbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920179/
https://www.ncbi.nlm.nih.gov/pubmed/36770014
http://dx.doi.org/10.3390/ma16031007
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author Kaľavský, Adam
Niesłony, Adam
Huňady, Róbert
author_facet Kaľavský, Adam
Niesłony, Adam
Huňady, Róbert
author_sort Kaľavský, Adam
collection PubMed
description The paper analyzes in detail the influence of the Welch method on the estimation of fatigue life in the frequency domain. The aim is to examine how the setting of parameters, such as window size, weighting and overlap, affects the calculation of power spectral density (PSD) and thus lifetime. The paper uses knowledge from the theory of signal processing, statistics and fatigue life estimation in the frequency domain. In order to demonstrate the general validity of the conclusions, four different reference PSD spectra are generated and examined. The spectra are converted to time histories using an inverse fast Fourier transform and then used as input (measured) data for the Welch method. The PSD thus obtained are subsequently subjected to lifetime estimation using the Dirlik and Tovo–Benasciutti models. Based on the obtained results, it was found that the best configuration of the parameters of the Welch method for fatigue calculations is the selection of the smallest possible time window (maximum 60% of the observation length) and the largest possible overlap (minimum 70% of the window size).
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spelling pubmed-99201792023-02-12 Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method Kaľavský, Adam Niesłony, Adam Huňady, Róbert Materials (Basel) Article The paper analyzes in detail the influence of the Welch method on the estimation of fatigue life in the frequency domain. The aim is to examine how the setting of parameters, such as window size, weighting and overlap, affects the calculation of power spectral density (PSD) and thus lifetime. The paper uses knowledge from the theory of signal processing, statistics and fatigue life estimation in the frequency domain. In order to demonstrate the general validity of the conclusions, four different reference PSD spectra are generated and examined. The spectra are converted to time histories using an inverse fast Fourier transform and then used as input (measured) data for the Welch method. The PSD thus obtained are subsequently subjected to lifetime estimation using the Dirlik and Tovo–Benasciutti models. Based on the obtained results, it was found that the best configuration of the parameters of the Welch method for fatigue calculations is the selection of the smallest possible time window (maximum 60% of the observation length) and the largest possible overlap (minimum 70% of the window size). MDPI 2023-01-21 /pmc/articles/PMC9920179/ /pubmed/36770014 http://dx.doi.org/10.3390/ma16031007 Text en © 2023 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
Kaľavský, Adam
Niesłony, Adam
Huňady, Róbert
Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title_full Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title_fullStr Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title_full_unstemmed Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title_short Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method
title_sort influence of psd estimation parameters on fatigue life prediction in spectral method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920179/
https://www.ncbi.nlm.nih.gov/pubmed/36770014
http://dx.doi.org/10.3390/ma16031007
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