I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Recurso digital |
| Reo: | Ingarihi |
| I whakaputaina: |
Zenodo
2014
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.6036/7013 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1866901051777482752 |
|---|---|
| author | Barberá-Martínez, Luis Viveros, Pablo Mena, Rodrigo González-Prida Díaz, Vicente |
| author_facet | Barberá-Martínez, Luis Viveros, Pablo Mena, Rodrigo González-Prida Díaz, Vicente |
| contents | <p>The paper outlines a methodology for assessing the reliability of grinding lines in industrial processes, particularly in a mining company in northern Chile, by analyzing input load and operational data. It highlights the importance of categorizing operational loads into specific ranges to determine reliability using statistical models like Weibull and Exponential. The study finds that operating within optimal load ranges enhances reliability, with Line 1 performing best between 1600 and 1700 tons/h and Line 2 between 1700 and 1800 tons/h. It emphasizes the need for effective maintenance management and suggests using Overall Equipment Effectiveness (OEE) as a key performance indicator. Recommendations include maintaining operations within optimal load ranges and auditing maintenance plans to improve reliability and minimize failure risks.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_6036_7013 |
| institution | Zenodo |
| language | eng |
| publishDate | 2014 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Influence of the input load on the reliability of the grinding line: A case study applied to the mining industry Barberá-Martínez, Luis Viveros, Pablo Mena, Rodrigo González-Prida Díaz, Vicente Reliability Optimization Maintenance Engineering Asset Management Mining <p>The paper outlines a methodology for assessing the reliability of grinding lines in industrial processes, particularly in a mining company in northern Chile, by analyzing input load and operational data. It highlights the importance of categorizing operational loads into specific ranges to determine reliability using statistical models like Weibull and Exponential. The study finds that operating within optimal load ranges enhances reliability, with Line 1 performing best between 1600 and 1700 tons/h and Line 2 between 1700 and 1800 tons/h. It emphasizes the need for effective maintenance management and suggests using Overall Equipment Effectiveness (OEE) as a key performance indicator. Recommendations include maintaining operations within optimal load ranges and auditing maintenance plans to improve reliability and minimize failure risks.</p> |
| title | Influence of the input load on the reliability of the grinding line: A case study applied to the mining industry |
| topic | Reliability Optimization Maintenance Engineering Asset Management Mining |
| url | https://doi.org/10.6036/7013 |