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Data preprocessing for vibration analysis: Application in indirect monitoring of ship centrifuge lube oil separation systems

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dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MAQLAB: Laboratorio de Máquinases
dc.contributor.authorZamorano Garzón, Marta
dc.contributor.authorAvila, Deivis
dc.contributor.authorNicolas Marichal, Graciliano
dc.contributor.authorCastejón Sisamón, Cristina
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2023-04-18T11:09:06Z
dc.date.available2023-04-18T11:09:06Z
dc.date.issued2022-09
dc.descriptionThis article belongs to the Special Issue Energy Optimization of Ship and Maritime Structures.en
dc.description.abstractAir quality can be affected by merchant ships, so it is important to regulate emissions that are produced, as well as to use energy efficiently. In this sense, the cleanliness of the oil used in lubrication is essential to achieve a better use of energy and reduce losses in marine engines. For that, it is vital to carry out good maintenance strategies. Therefore, it is important to develop techniques that allow condition monitoring during engine operation. In order to detect potential problems as soon as possible, it is common to analyze vibratory signals, since sustainable changes in the rotating frequency and its harmonics can be detected, which was the objective of this work, by analyzing the time-frequency domain using wavelet packet transform. A methodology to select the optimal function (mother wavelet) and the best patterns to monitor, in order to determine the state of the purifiers of the marine lube oils, was carried out, including intelligent classification systems. Specifically, this document considers centrifugal oil lubricant separators systems, since the monitoring of these systems can determine the condition of different mechanical systems.en
dc.description.sponsorshipThis publication is part of the R&D&I project PID2020-116984RB-C22 and PID2020-116984RB-C21, financed by AEI/10.13039/501100011033.en
dc.format.extent12
dc.identifier.bibliographicCitationZamorano, M. N., Avila, D., Marichal, G., & Castejón, C. (2022). Data Preprocessing for Vibration Analysis: Application in Indirect Monitoring of ‘Ship Centrifuge Lube Oil Separation Systems’. Journal of Marine Science and Engineering, 10(9), 1199.en
dc.identifier.doihttps://doi.org/10.3390/jmse10091199
dc.identifier.issn2077-1312
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue9
dc.identifier.publicationlastpage12
dc.identifier.publicationtitleJournal of Marine Science and Engineeringen
dc.identifier.publicationvolume10
dc.identifier.urihttps://hdl.handle.net/10016/37119
dc.identifier.uxxiAR/0000031081
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDGobierno de España. PID2020-116984RB-C22es
dc.relation.projectIDGobierno de España. PID2020-116984RB-C21es
dc.rights© 2022 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherCondition monitoringen
dc.subject.otherVibration analysisen
dc.subject.otherWavelet packet transformen
dc.subject.otherMother waveleten
dc.subject.otherMarine fuel and oil separatorsen
dc.titleData preprocessing for vibration analysis: Application in indirect monitoring of ship centrifuge lube oil separation systemsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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