Analytical model to monitor the oil conditions on the main components of mining dumpers
Mechanic systems are lubricated with oil and their analysis is one of the best practices among industrial routines. It allows for measuring the number of elements and particles in the lubricant. Furthermore, it improves the equipment health monitoring. In mining, the dumpers are a piece of critical...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023000610 |
| _version_ | 1797884457715236864 |
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| author | Diana C. Benjumea Henry Laniado Oscar Combita |
| author_facet | Diana C. Benjumea Henry Laniado Oscar Combita |
| author_sort | Diana C. Benjumea |
| collection | DOAJ |
| description | Mechanic systems are lubricated with oil and their analysis is one of the best practices among industrial routines. It allows for measuring the number of elements and particles in the lubricant. Furthermore, it improves the equipment health monitoring. In mining, the dumpers are a piece of critical equipment that affects production. The continuous monitoring assures systematic reliability. This work can serve as a good reference for engineers who intend to understand oil data and promote the development of lifetime models of components. This paper studies the lifetime expectation of the main components of T6, T16, TH315, and JOY dumpers considering oil data. These lifetimes were analyzed by using both, the Cox proportional hazard model and a new robust version of the same model that is the main contribution of this work. The results show that robust version introduced has better performance than Cox classical model. The correlation analysis from oil variables, and operational context information are also included. It allowed us to identify the components and dumpers with a major risk of failure and their relationship with the work site. |
| first_indexed | 2024-04-10T04:06:53Z |
| format | Article |
| id | doaj.art-1d913d8e50b1430f8a5228361648dc08 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-04-10T04:06:53Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-1d913d8e50b1430f8a5228361648dc082023-03-13T04:16:08ZengElsevierResults in Engineering2590-12302023-03-0117100934Analytical model to monitor the oil conditions on the main components of mining dumpersDiana C. Benjumea0Henry Laniado1Oscar Combita2Applied Sciences and Engineering School, Universidad EAFIT, Medellín, Colombia; Corresponding author.Applied Sciences and Engineering School, Universidad EAFIT, Medellín, ColombiaTechnical Management, Gran Colombia Gold, Segovia, ColombiaMechanic systems are lubricated with oil and their analysis is one of the best practices among industrial routines. It allows for measuring the number of elements and particles in the lubricant. Furthermore, it improves the equipment health monitoring. In mining, the dumpers are a piece of critical equipment that affects production. The continuous monitoring assures systematic reliability. This work can serve as a good reference for engineers who intend to understand oil data and promote the development of lifetime models of components. This paper studies the lifetime expectation of the main components of T6, T16, TH315, and JOY dumpers considering oil data. These lifetimes were analyzed by using both, the Cox proportional hazard model and a new robust version of the same model that is the main contribution of this work. The results show that robust version introduced has better performance than Cox classical model. The correlation analysis from oil variables, and operational context information are also included. It allowed us to identify the components and dumpers with a major risk of failure and their relationship with the work site.http://www.sciencedirect.com/science/article/pii/S2590123023000610Oil analysisDumpersHealth monitoring |
| spellingShingle | Diana C. Benjumea Henry Laniado Oscar Combita Analytical model to monitor the oil conditions on the main components of mining dumpers Results in Engineering Oil analysis Dumpers Health monitoring |
| title | Analytical model to monitor the oil conditions on the main components of mining dumpers |
| title_full | Analytical model to monitor the oil conditions on the main components of mining dumpers |
| title_fullStr | Analytical model to monitor the oil conditions on the main components of mining dumpers |
| title_full_unstemmed | Analytical model to monitor the oil conditions on the main components of mining dumpers |
| title_short | Analytical model to monitor the oil conditions on the main components of mining dumpers |
| title_sort | analytical model to monitor the oil conditions on the main components of mining dumpers |
| topic | Oil analysis Dumpers Health monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023000610 |
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