Influencia del mantenimiento basado en condición de los lubricantes: una revisión sistemática en los motores de encendido por compresión

dc.contributor.advisorVera Rozo, James Donald
dc.contributor.authorGarrido Pérez, Wilson Enrique
dc.contributor.corporatenameUniversidad Santo Tomás
dc.contributor.googlescholarhttps://scholar.google.es/citations?user=OY25FjcAAAAJ&hl=es
dc.contributor.orcidhttps://orcid.org/0000-0003-0516-3936
dc.date.accessioned2025-06-17T22:40:19Z
dc.date.available2025-06-17T22:40:19Z
dc.date.issued2025-05-14
dc.descriptionEl mantenimiento basado en condición (CBM por sus siglas en inglés) se ha consolidado como una estrategia clave para optimizar el mantenimiento de motores de encendido por compresión, permitiendo evaluar el estado real de los lubricantes y ajustar los intervalos de cambio en función de su degradación. Este estudio presenta una revisión sistemática de la literatura sobre la aplicación del CBM en lubricantes, analizando su impacto en la eficiencia operativa, la reducción de costos y la sostenibilidad industrial. Para ello, se utilizaron bases de datos científicas con el objetivo de identificar tendencias y avances tecnológicos en tribología de lubricantes, considerando métodos como el análisis espectroscópico, ferrográfico y de viscosidad. Los resultados muestran que la implementación del CBM reduce el desperdicio de lubricantes, prolonga la vida útil del motor y disminuye costos operativos al minimizar fallos inesperados. Además, se destaca la creciente adopción de sensores IoT y algoritmos predictivos para el monitoreo en tiempo real del aceite, mejorando la gestión del mantenimiento. A pesar de sus ventajas, persisten desafíos en la estandarización de parámetros de degradación y en la integración de tecnologías avanzadas para su monitoreo en tiempo real dentro de distintos entornos industriales. Como líneas de investigación futuras, se propone el desarrollo de modelos de inteligencia artificial para predecir la degradación del lubricante y la expansión del CBM en sectores como Oil & Gas, aviación y minería. Este estudio proporciona una base para optimizar la gestión del mantenimiento y fomentar prácticas más eficientes y sostenibles en la industria. Palabras Clave: Tribología, mantenimiento basado en condición, análisis de aceites, predicción, monitoreo de lubricantes.
dc.description.abstractCondition-Based Maintenance (CBM) has become a key strategy for optimizing the maintenance of compression ignition engines, allowing for the real-time assessment of lubricant condition and the adjustment of oil change intervals based on its degradation. This study presents a systematic review of the literature on CBM applied to lubricants, analyzing its impact on operational efficiency, cost reduction, and industrial sustainability. For this purpose, scientific databases were utilized to identify trends and technological advancements in lubricant tribology, considering methods such as spectroscopic, ferrographic, and viscosity analysis. The results show that CBM implementation reduces lubricant waste, extends engine lifespan, and lowers operational costs by minimizing unexpected failures. Additionally, the increasing adoption of IoT sensors and predictive algorithms for real-time oil monitoring is highlighted, improving maintenance management. Despite its advantages, challenges remain in standardizing degradation parameters and integrating advanced technologies for real-time monitoring across various industrial environments. Future research directions include the development of artificial intelligence models to predict lubricant degradation and the expansion of CBM into sectors such as Oil & Gas, aviation, and mining. This study provides a foundation for optimizing maintenance management and promoting more efficient and sustainable industry practices. Keywords: Tribology, condition-based maintenance, oil analysis, prediction, lubricant monitoring.
dc.description.degreelevelEspecializaciónspa
dc.description.degreenameEspecialista en Gerencia de Mantenimiento y Gestión de Activosspa
dc.description.domainhttp://www.ustavillavicencio.edu.co/home/index.php/unidades/extension-y-proyeccion/investigacion
dc.format.mimetypeapplication/pdf
dc.identifier.citationGarrido Pérez, W. (2025). Influencia del mantenimiento basado en condición de los lubricantes: una revisión sistemática en los motores de encendido por compresión [Trabajo de grado, Universidad Santo Tomás]. Repositorio Institucional
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/67935
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Villavicencio
dc.publisher.facultyFacultad de Ingeniería Mecánicaspa
dc.publisher.programEspecialización en Gerencia de Mantenimiento y Gestión de Activosspa
dc.relation.referencesCarmona Castro, M. (2015). Análisis de lubricantes usados (motor diésel-gas-gasolina e industriales). [Trabajo de grado, Universidad de Cartagena]. Repositorio Institucional. https://hdl.handle.net/11227/5411.
dc.relation.referencesDel Río, J. M. L., Rial, R., Nasser, K., & Guimarey, M. J. G. (2023). Experimental Investigation of Tribological and Rheological Behaviour of Hybrid Nanolubricants for Applications in Internal Combustion Engines. Tribology Letters, 71(1). https://doi.org/10.1007/s11249-023-01697-5.
dc.relation.referencesFu, C., Liang, X., Li, Q., Lu, K., Gu, F., Ball, A. D., & Zheng, Z. (2023). Comparative Study on Health Monitoring of a Marine Engine Using Multivariate Physics-Based Models and Unsupervised Data-Driven Models. Machines, 11(5), 557. https://doi.org/10.3390/machines11050557.
dc.relation.referencesGokul, M. R., & Velmurugan, V. (2022). Prediction of Vibration and Noise Characteristics in 3 Cylinder Passenger Vehicle Through Experimental Investigation. Journal of Positive School Psychology, 6(3), 3853-3860. https://www.journalppw.com/index.php/jpsp/article/view/2181/1350.
dc.relation.referencesGołębiowski, W., Wolak, A., & Šarkan, B. (2024). Engine Oil Degradation in the Real-World Bus Fleet Test Based on Two Consecutive Operational Intervals. Lubricants, 12(3), 101. https://doi.org/10.3390/lubricants12030101.
dc.relation.referencesHamid, A. F. A., Rahman, M. T. A., Khan, S. F., Adom, A. H., Rahim, M. A., Rahim, N. A., Ismail, M. H. N., & Norizan, A. (2017). Connected car: Engines diagnostic via Internet of Things (IoT). Journal Of Physics Conference Series, 908, 012079. https://doi.org/10.1088/1742-6596/908/1/012079.
dc.relation.referencesHasannuddin, A., Wira, J., Sarah, S., Aqma, W. W. S., Hadi, A. A., Hirofumi, N., Aizam, S., Aiman, M., Watanabe, S., Ahmad, M., & Azrin, M. (2016). Performance, emissions and lubricant oil analysis of diesel engine running on emulsion fuel. Energy Conversion And Management, 117, 548-557. https://doi.org/10.1016/j.enconman.2016.03.057.
dc.relation.referencesHassan, M. U., Usman, M., Bashir, R., Shah, A. N., Malik, M. A. I., Mujtaba, M., Elkhatib, S. E., & Kalam, M. A. (2022). Tribological Analysis of Molybdenum Disulfide (MOS2) Additivated in the Castor and Mineral Oil Used in Diesel Engine. Sustainability, 14(17), 10485. https://doi.org/10.3390/su141710485.
dc.relation.referencesHiep, N. H., Doan, N. C., Quan, N. Q., & Van Duong, N. (2023). Structural Modifications of the Inner Surface of Cylinder Liners for Decreasing Mechanical Losses in High-Speed Diesel Engines. SAE Technical Papers On CD-ROM/SAE Technical Paper Series. https://doi.org/10.4271/2023-01-5024.
dc.relation.referencesJabo, A. G. A. G. A., & Eskandar, M. V. (2021). Used Oil Analysis For Internal Combustion Engine Condition Monitoring. International Journal Of Engineering Applied Sciences And Technology, 5(9). https://doi.org/10.33564/ijeast.2021.v05i09.002.
dc.relation.referencesJha, K. K., Arora, R., & Pabla, B. S. Condition Monitoring of Lubricating Oil Using Internet of Things (IoT). International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), 10(3), 9877-9888. https://www.researchgate.net/publication/346412395_CONDITION_MONITORING_OF_LUBRICATING_OIL_USING_INTERNET_OF_THINGS_IoT.
dc.relation.referencesKardos, S., Pietrikova, A., & Tothova, J. (2015). Possibilities of motor oil continuous diagnostics. 38th International Spring Seminar On Electronics Technology (ISSE), 611, 277-282. https://doi.org/10.1109/isse.2015.7248005.
dc.relation.referencesKim, D., Lee, S., & Lee, J. (2020). An Ensemble-Based Approach to Anomaly Detection in Marine Engine Sensor Streams for Efficient Condition Monitoring and Analysis. Sensors, 20(24), 7285. https://doi.org/10.3390/s20247285.
dc.relation.referencesLiu, W., Gan, Y., Chen, N., & Wang, Z. (2020). Design of diesel engine fault prediction system based on MATLAB. Journal Of Physics Conference Series, 1654(1), 012072. https://doi.org/10.1088/1742-6596/1654/1/012072.
dc.relation.referencesMarinho Da Silva Junior, E., Rubens Formiga, C., & Pantaleon Matamoros, E. (2016). Parameters Tribological analysis using clustering diesel Generator group. INEGI/FEUP.
dc.relation.referencesMohapatra, A. G., Mohanty, A., Pradhan, N. R., Mohanty, S. N., Gupta, D., Alharbi, M., Alkhayyat, A., & Khanna, A. (2023). An Industry 4.0 implementation of a condition monitoring system and IoT-enabled predictive maintenance scheme for diesel generators. Alexandria Engineering Journal, 76, 525-541. https://doi.org/10.1016/j.aej.2023.06.026.
dc.relation.referencesNagy, A. L., Knaup, J. C., & Zsoldos, I. (2019). Investigation of Used Engine Oil Lubricating Performance Through Oil Analysis and Friction and Wear Measurements. Acta Technica Jaurinensis. https://doi.org/10.14513/actatechjaur.v12.n3.495.
dc.relation.referencesOmar, A. A. S., Salehi, F. M., Farooq, U., Morina, A., & Neville, A. (2021). Chemical and physical assessment of engine oils degradation and additive depletion by soot. Tribology International, 160, 107054. https://doi.org/10.1016/j.triboint.2021.107054.
dc.relation.referencesPayri González, F., & Desantes Fernández, J. M. (2011). Motores de combustión interna alternativos. Universitat Politècnica de València, Reverté.
dc.relation.referencesPeric, S., Nedic, B., & Grkić, A. (2014). Applicative monitoring of vehicles engine oil. Tribology In Industry. Tribology in Industry Vol. 36, No. 3 (2014) 308-315 https://sciobs.upr.edu.cu/article/92932.
dc.relation.referencesRaposo, H., Farinha, J., Fonseca, I., & Ferreira, L. (2019). Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses. Actuators, 8(1), 14. https://doi.org/10.3390/act8010014.
dc.relation.referencesSejkorova, M., & Hurtova, I. (2019). Engine oil analysis - effective instrument to evaluate reliability of tractor engines. Engineering For Rural Development. https://doi.org/10.22616/erdev2019.18.n059.
dc.relation.referencesSergek, B., & Özçeli̇K, A. E. (2023). Investigation of tribological analysis of safflower oil and 15W40 engine lubrication oil and their blends. International Journal Of Energy Applications And Technologies, 10(2), 92-102. https://doi.org/10.31593/ijeat.1364708.
dc.relation.referencesSobral, C. E. L., De o Cruz, A. J., & Thome, A. C. G. (2014). Diesel engines diagnosis through analysis of lubricating oil. 2014 IEEE International Conference On Systems, Man, And Cybernetics (SMC). https://doi.org/10.1109/smc.2014.6974344.
dc.relation.referencesThachnatharen, N., Khalid, M., Shahabuddin, S., Anwar, A., & Sridewi, N. (2022). Tribological analysis of advanced microwave synthesized Molybdenum disulfide (MoS2) as anti-friction additives in diesel engine oil for military vehicles. Materials Today Proceedings, 62, 7243-7247. https://doi.org/10.1016/j.matpr.2022.03.692.
dc.relation.referencesVega Centeno Lima, L. J. (2024). Diseño de un plan de mantenimiento predictivo basado en la tribología de lubricante En motores diesel Mitsubishi modelo 4M50 de 174 HP para una altitud de 4100 msnm. [Trabajo de grado, Universidad Nacional De San Antonio Abad Del Cusco]. Repositorio Institucional. http://hdl.handle.net/20.500.12918/8715.
dc.relation.referencesWakiru, J. M., Pintelon, L., Muchiri, P. N., & Chemweno, P. K. (2018). A review on lubricant condition monitoring information analysis for maintenance decision support. Mechanical Systems And Signal Processing, 118, 108-132. https://doi.org/10.1016/j.ymssp.2018.08.039.
dc.relation.referencesWolak, A., & Zając, G. (2017). The kinetics of changes in kinematic viscosity of engine oils under similar operating conditions. Eksploatacja I Niezawodnosc - Maintenance And
dc.relation.referencesYilbaşi, Z., Yeşilyurt, M. K., Arslan, M., & Yaman, H. (2023). Understanding the performance, emissions, and combustion behaviors of a DI diesel engine using alcohol/hemp seed oil biodiesel/diesel fuel ternary blends: Influence of long-chain alcohol type and concentration. Science And Technology For Energy Transition, 78, 5. https://doi.org/10.2516/stet/2023003.
dc.relation.referencesZaharia, C., Niculescu, R., Năstase, M., Clenci, A., & Iorga-Simăn, V. (2022). Engine oil analysis to evaluate the degree of its wear during the period of operation of the vehicle. IOP Conference Series Materials Science And Engineering, 1220(1), 012037. https://doi.org/10.1088/1757-899x/1220/1/012037.
dc.relation.referencesZheng, H., Zhou, H., Kang, C., Liu, Z., Dou, Z., Liu, J., Li, B., & Chen, Y. (2021). Modeling and prediction for diesel performance based on deep neural network combined with virtual sample. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-96259-x.
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Colombiaen
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keywordTribology
dc.subject.keywordCondition-based maintenance
dc.subject.keywordOil analysis
dc.subject.keywordPrediction
dc.subject.keywordLubricant monitoring
dc.subject.lembMantenimiento - Motores
dc.subject.lembIngeniería Mecánica - Análisis de aceites
dc.subject.lembProcesos industriales - Monitoreo de lubricantes
dc.subject.lembTesis y Disertaciones académicas
dc.subject.proposalTribología
dc.subject.proposalMantenimiento basado en condición
dc.subject.proposalAnálisis de aceites
dc.subject.proposalPredicción
dc.subject.proposalMonitoreo de lubricantes
dc.titleInfluencia del mantenimiento basado en condición de los lubricantes: una revisión sistemática en los motores de encendido por compresión
dc.typebachelor thesis
dc.type.categoryFormación de Recurso Humano para la Ctel: Trabajo de grado de Especialización
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driveinfo:eu-repo/semantics/bachelorThesisspa
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa

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