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Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition
A novel output-only crack localization method is proposed for operating rotors based on an enhanced higher-order dynamic mode decomposition (HODMD), in which the nonlinear breathing crack-induced super-harmonic characteristic components from multiple vibration measurement points are simultaneously e...
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/PMC9415710/ https://www.ncbi.nlm.nih.gov/pubmed/36015889 http://dx.doi.org/10.3390/s22166131 |
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author | Lu, Zhiwen Li, Feng Cao, Shancheng Yuan, Rui Lv, Yong |
author_facet | Lu, Zhiwen Li, Feng Cao, Shancheng Yuan, Rui Lv, Yong |
author_sort | Lu, Zhiwen |
collection | PubMed |
description | A novel output-only crack localization method is proposed for operating rotors based on an enhanced higher-order dynamic mode decomposition (HODMD), in which the nonlinear breathing crack-induced super-harmonic characteristic components from multiple vibration measurement points are simultaneously extracted to compose the corresponding super-harmonic transmissibility damage indexes. Firstly, the theoretical background of the HODMD is briefly reviewed. Secondly, the proposed crack localization method is dedicated which improving the HODMD for multivariate signals by casting the total least square method into standard HODMD and adaptively selecting the order parameter of Koopman approximation by optimizing the super-harmonic frequency vector. In addition, the super-harmonic characteristic components are evaluated and harnessed to derive the damage index based on super-harmonic transmissibility and fractal dimension. Finally, the proposed method is investigated and demonstrated by numerical simulations and experiments. Both numerical and experimental results show that the proposed method is powerful in realizing multi-crack localization for running rotors accurately and robustly in the case of no baseline information on intact rotors. Moreover, the interferences from commonly existing steps and misalignment can also be eliminated. |
format | Online Article Text |
id | pubmed-9415710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94157102022-08-27 Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition Lu, Zhiwen Li, Feng Cao, Shancheng Yuan, Rui Lv, Yong Sensors (Basel) Article A novel output-only crack localization method is proposed for operating rotors based on an enhanced higher-order dynamic mode decomposition (HODMD), in which the nonlinear breathing crack-induced super-harmonic characteristic components from multiple vibration measurement points are simultaneously extracted to compose the corresponding super-harmonic transmissibility damage indexes. Firstly, the theoretical background of the HODMD is briefly reviewed. Secondly, the proposed crack localization method is dedicated which improving the HODMD for multivariate signals by casting the total least square method into standard HODMD and adaptively selecting the order parameter of Koopman approximation by optimizing the super-harmonic frequency vector. In addition, the super-harmonic characteristic components are evaluated and harnessed to derive the damage index based on super-harmonic transmissibility and fractal dimension. Finally, the proposed method is investigated and demonstrated by numerical simulations and experiments. Both numerical and experimental results show that the proposed method is powerful in realizing multi-crack localization for running rotors accurately and robustly in the case of no baseline information on intact rotors. Moreover, the interferences from commonly existing steps and misalignment can also be eliminated. MDPI 2022-08-16 /pmc/articles/PMC9415710/ /pubmed/36015889 http://dx.doi.org/10.3390/s22166131 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 Lu, Zhiwen Li, Feng Cao, Shancheng Yuan, Rui Lv, Yong Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title | Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title_full | Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title_fullStr | Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title_full_unstemmed | Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title_short | Crack Localization in Operating Rotors Based on Multivariate Higher Order Dynamic Mode Decomposition |
title_sort | crack localization in operating rotors based on multivariate higher order dynamic mode decomposition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415710/ https://www.ncbi.nlm.nih.gov/pubmed/36015889 http://dx.doi.org/10.3390/s22166131 |
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