Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems

In this article, a study of characteristic vibrations of marine oils separation system is presented. Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. Actual measurements were carried out on these systems on Ro-Pax vessels...

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Autores principales: Marichal, Graciliano Nicolás, Ávila, Deivis, Hernández, Ángela, Padrón, Isidro, Castejón, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164917/
https://www.ncbi.nlm.nih.gov/pubmed/30235824
http://dx.doi.org/10.3390/s18093159
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author Marichal, Graciliano Nicolás
Ávila, Deivis
Hernández, Ángela
Padrón, Isidro
Castejón, Cristina
author_facet Marichal, Graciliano Nicolás
Ávila, Deivis
Hernández, Ángela
Padrón, Isidro
Castejón, Cristina
author_sort Marichal, Graciliano Nicolás
collection PubMed
description In this article, a study of characteristic vibrations of marine oils separation system is presented. Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. Actual measurements were carried out on these systems on Ro-Pax vessels to transport passengers and freight. The vibrations obtained were processed in the frequency domain and following this, they were used in a Genetic Neuro-Fuzzy System in order to design new predictive maintenance strategies. The obtained results show that these techniques as a promising strategy can be utilized to determine incipient faults.
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spelling pubmed-61649172018-10-10 Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems Marichal, Graciliano Nicolás Ávila, Deivis Hernández, Ángela Padrón, Isidro Castejón, Cristina Sensors (Basel) Article In this article, a study of characteristic vibrations of marine oils separation system is presented. Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. Actual measurements were carried out on these systems on Ro-Pax vessels to transport passengers and freight. The vibrations obtained were processed in the frequency domain and following this, they were used in a Genetic Neuro-Fuzzy System in order to design new predictive maintenance strategies. The obtained results show that these techniques as a promising strategy can be utilized to determine incipient faults. MDPI 2018-09-19 /pmc/articles/PMC6164917/ /pubmed/30235824 http://dx.doi.org/10.3390/s18093159 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marichal, Graciliano Nicolás
Ávila, Deivis
Hernández, Ángela
Padrón, Isidro
Castejón, Cristina
Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title_full Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title_fullStr Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title_full_unstemmed Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title_short Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems
title_sort feature extraction from indirect monitoring in marine oil separation systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164917/
https://www.ncbi.nlm.nih.gov/pubmed/30235824
http://dx.doi.org/10.3390/s18093159
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AT padronisidro featureextractionfromindirectmonitoringinmarineoilseparationsystems
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