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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...

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Detalles Bibliográficos
Autores principales: Kecik, Krzysztof, Smagala, Arkadiusz, Lyubitska, Kateryna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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