Bibliography of literature on mining equipment reliability

Dhillon, B.S.

doi:10.1016/0026-2714(86)90818-8

Cited by 8 publications

(2 citation statements)

References 38 publications

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“…From Fig 2 , n represents the number of the system components (in SRP) or the number of states (in MP and SMP). Besides, the mean time to the occurrence of failure [ 20 ] in the mine system is called the meantime (leading) to failure or MTTF (in short), which can be defined as Eq (2) . The main difference between MTTF and MTBF was referred to their applications.…”

Section: Methodsmentioning

confidence: 99%

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

et al. 2020

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It is an essential task to estimate the remaining useful life (RUL) of machinery in the mining sector aimed at ensuring the production and the customer’s satisfaction. In this study, a conceptual framework was used to determine the RUL under the reliability analysis in a frailty model. The proposed framework was implemented on a Komatsu PC-1250 excavator from the Sungun copper mine. Also, the Weibull-frailty model was selected to describe the failure behavior and compare it with the classical-exponential model. The frailty model was also used to evaluate the impact of unobserved environmental conditions on the RUL values. Both applied models were fitted to the obtained data from 80 operational hours of the Komatsu PC-1250 excavator. Plotting the results from the reliability analysis of two models demonstrated that the mine system with the frailty model performs better than the classical model before reaching the reliability of 80%. Besides, the frailty model shows a coherent with the operational time of the excavator, while the classical model demonstrates a sinusoid variation. The obtained results may be used for the development of maintenance, preventive repairs planning, and the spare parts replacement intervals.

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Section: Methodsmentioning

confidence: 99%

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

et al. 2020

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“…This scenario drives stiff competition among underground mining operators to deliver productivity at lower operating cost with more advance and costly equipment automation. Armoured Face Conveyor (AFC) is central to underground haulage system and every minute of production breakdown is tantamount to loss in revenue and negative maintenance cost variance [13]. This study quantitatively showed that if AFC is poorly maintained due to lack of industrial informatics application and lack of appropriate data analysis could result in high cost of unreliability, poor maintainability performance and increases overall life cycle cost of ownership.…”

Section: Discussionmentioning

confidence: 97%

Industrial informatics applications: Optimising life cycle costs of an Underground Mining Longwall Conveyor

Balaba

Ibrahim

2011

2011 IEEE International Symposium on Industrial Electronics

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This paper presents a study that was conducted to find effective means of improving the life cycle cost of industrial equipment. The analytical study was also applied to an Armoured Face Conveyor (AFC) used in Longwall Underground Coal Mining Operation. A cost effective maintenance and operation strategy and practices is mandatory to meet the production demand and required availability target of this critical asset of the plant.The study conducted and presented in this paper includes a detailed review of failure history and its effect on the throughput and the overall performance of the longwall operation which is the heart of the underground coal mining operation.

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Human Factors and Error in Mining

2008

Springer Series in Reliability Engineering

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Bibliography of literature on mining equipment reliability

Cited by 8 publications

References 38 publications

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model

Industrial informatics applications: Optimising life cycle costs of an Underground Mining Longwall Conveyor

Human Factors and Error in Mining

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