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Experimental vibration data collected for a belt drive system under different operating conditions

Vibration analysis is the cornerstone of vibration-based condition monitoring that analyzes a vibration signal, detects faults or anomalies, and diagnoses the operating conditions of a belt drive system. This data article contains experiments that collect vibration signals of a belt drive system at...

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Detalles Bibliográficos
Autores principales: M. Khalifa, Ramy, Yacout, Soumaya, Bassetto, Samuel, Shaban, Yasser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293968/
https://www.ncbi.nlm.nih.gov/pubmed/37383798
http://dx.doi.org/10.1016/j.dib.2023.109175
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author M. Khalifa, Ramy
Yacout, Soumaya
Bassetto, Samuel
Shaban, Yasser
author_facet M. Khalifa, Ramy
Yacout, Soumaya
Bassetto, Samuel
Shaban, Yasser
author_sort M. Khalifa, Ramy
collection PubMed
description Vibration analysis is the cornerstone of vibration-based condition monitoring that analyzes a vibration signal, detects faults or anomalies, and diagnoses the operating conditions of a belt drive system. This data article contains experiments that collect vibration signals of a belt drive system at different levels of speed and pretension of the belt under varying operating conditions. The collected dataset includes low, medium, and high operating speeds at three levels of the belt’s pretensioned values. This article covers three operating conditions: normal or healthy operation using a healthy belt, unbalanced operation by adding unbalanced weight to the system, and abnormal operation using a faulty belt. The collected data provides an understanding of the performance of the belt drive system during its operation to identify the root cause of an anomaly when detected.
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spelling pubmed-102939682023-06-28 Experimental vibration data collected for a belt drive system under different operating conditions M. Khalifa, Ramy Yacout, Soumaya Bassetto, Samuel Shaban, Yasser Data Brief Data Article Vibration analysis is the cornerstone of vibration-based condition monitoring that analyzes a vibration signal, detects faults or anomalies, and diagnoses the operating conditions of a belt drive system. This data article contains experiments that collect vibration signals of a belt drive system at different levels of speed and pretension of the belt under varying operating conditions. The collected dataset includes low, medium, and high operating speeds at three levels of the belt’s pretensioned values. This article covers three operating conditions: normal or healthy operation using a healthy belt, unbalanced operation by adding unbalanced weight to the system, and abnormal operation using a faulty belt. The collected data provides an understanding of the performance of the belt drive system during its operation to identify the root cause of an anomaly when detected. Elsevier 2023-04-27 /pmc/articles/PMC10293968/ /pubmed/37383798 http://dx.doi.org/10.1016/j.dib.2023.109175 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
M. Khalifa, Ramy
Yacout, Soumaya
Bassetto, Samuel
Shaban, Yasser
Experimental vibration data collected for a belt drive system under different operating conditions
title Experimental vibration data collected for a belt drive system under different operating conditions
title_full Experimental vibration data collected for a belt drive system under different operating conditions
title_fullStr Experimental vibration data collected for a belt drive system under different operating conditions
title_full_unstemmed Experimental vibration data collected for a belt drive system under different operating conditions
title_short Experimental vibration data collected for a belt drive system under different operating conditions
title_sort experimental vibration data collected for a belt drive system under different operating conditions
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293968/
https://www.ncbi.nlm.nih.gov/pubmed/37383798
http://dx.doi.org/10.1016/j.dib.2023.109175
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