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Ball Bearing Fault Diagnosis Using Recurrence Analysis
This paper presents the problem of rolling bearing fault diagnosis based on vibration velocity signal. For this purpose, recurrence plots and quantification methods are used for nonlinear signals. First, faults in the form of a small scratch are intentionally introduced by the electron-discharge mac...
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/PMC9457464/ https://www.ncbi.nlm.nih.gov/pubmed/36079322 http://dx.doi.org/10.3390/ma15175940 |
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author | Kecik, Krzysztof Smagala, Arkadiusz Lyubitska, Kateryna |
author_facet | Kecik, Krzysztof Smagala, Arkadiusz Lyubitska, Kateryna |
author_sort | Kecik, Krzysztof |
collection | PubMed |
description | This paper presents the problem of rolling bearing fault diagnosis based on vibration velocity signal. For this purpose, recurrence plots and quantification methods are used for nonlinear signals. First, faults in the form of a small scratch are intentionally introduced by the electron-discharge machining method in the outer and inner rings of a bearing and a rolling ball. Then, the rolling bearings are tested on the special laboratory system, and acceleration signals are measured. Detailed time-dependent recurrence methodology shows some interesting results, and several of the recurrence indicators such as determinism, entropy, laminarity, trapping time and averaged diagonal line can be utilized for fault detection. |
format | Online Article Text |
id | pubmed-9457464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94574642022-09-09 Ball Bearing Fault Diagnosis Using Recurrence Analysis Kecik, Krzysztof Smagala, Arkadiusz Lyubitska, Kateryna Materials (Basel) Article This paper presents the problem of rolling bearing fault diagnosis based on vibration velocity signal. For this purpose, recurrence plots and quantification methods are used for nonlinear signals. First, faults in the form of a small scratch are intentionally introduced by the electron-discharge machining method in the outer and inner rings of a bearing and a rolling ball. Then, the rolling bearings are tested on the special laboratory system, and acceleration signals are measured. Detailed time-dependent recurrence methodology shows some interesting results, and several of the recurrence indicators such as determinism, entropy, laminarity, trapping time and averaged diagonal line can be utilized for fault detection. MDPI 2022-08-27 /pmc/articles/PMC9457464/ /pubmed/36079322 http://dx.doi.org/10.3390/ma15175940 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 Kecik, Krzysztof Smagala, Arkadiusz Lyubitska, Kateryna Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title | Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title_full | Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title_fullStr | Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title_full_unstemmed | Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title_short | Ball Bearing Fault Diagnosis Using Recurrence Analysis |
title_sort | ball bearing fault diagnosis using recurrence analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457464/ https://www.ncbi.nlm.nih.gov/pubmed/36079322 http://dx.doi.org/10.3390/ma15175940 |
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