Reliability and maintainability analysis of crushing plants in Jajarm bauxite mine of iran

Barabady, Javad

doi:10.1109/rams.2005.1408347

Cited by 35 publications

(21 citation statements)

References 7 publications

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“…Parametric methods have been used to analyze historical time to repair (TTR) datasets in many case studies. 24 Availability analysis. According to Dhillon,5 availability is the probability that the equipment is available as required.…”

Section: Ram Analysismentioning

confidence: 99%

Expected impact quantification–based reliability assessment methodology for Chilean copper smelting process: A case study

Kristjanpoller

Crespo

Viveros

et al. 2016

Advances in Mechanical Engineering

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Currently, a lack of interpretation tools and methodologies hinders the ability to assess the performance of a single piece of equipment or a total system. Therefore, a reliability, availability, and maintainability analysis must be combined with a quantitative reliability impact analysis to interpret the actual performance and identify bottlenecks and improvement opportunities. This article proposes a novel methodology that uses reliability, availability, and maintainability analysis to quantify the expected impact. The strengths of the failure expected impact methodology include its ability to systematically and quantitatively assess the expected impact in terms of reliability, availability, and maintainability indicators and the logical configuration of subsystems and individual equipment, which show the direct effects of each element on the total system. This proposed analysis complements plant modeling and analysis. Determining the operational effectiveness impact, as the final result of the computation process, enables the quantitative and unequivocal prioritization of the system elements by assessing the associated loss as a ''production loss'' regarding its unavailability and effect on the system process. The Chilean copper smelting process study provides useful results for developing a hierarchization that enables an analysis of improvement actions that are aligned with the best opportunities.

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Section: Ram Analysismentioning

confidence: 99%

Expected impact quantification–based reliability assessment methodology for Chilean copper smelting process: A case study

Kristjanpoller

Crespo

Viveros

et al. 2016

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…But in case of TTR data, concave upward curve means that TTR is decreasing and concave downward curve indicates the TTR is increasing. If the curve is approximately a straight line, then the data is identically distributed and free from trends (Kumar & Kelefsjö, 1992;Rigdon & Basu, 2000;Barabady, 2005;Adhikary et. al., 2010) …”

Section: Trend Testmentioning

confidence: 99%

“…The Serial Correlation Test can be performed graphically by plotting the i th TBF/TTR against (i-1) th TBF/TTR for i = 1, 2... n, where n is the total number of failures (Kumar & Kelefsjö, 1992;Rigdon, & Basu, 2000;Barabady, 2005;Adhikary et. al., 2010).…”

Section: Serial Correlation Testmentioning

confidence: 99%

“…The data with trends are analyzed by Non-Homogeneous Poisson Process (NHPP) (Kumar and Kelefsjö, 1992;Rigdon and Basu, 2000;Barabady, 2005;Adhikary et. al., 2010).…”

Section: Goodness-of-fit Test For Non-idd Data and The Parameters Estmentioning

confidence: 99%

“…J. Barabady (2005) has suggested the setting of Preventive Maintenance Intervals (PMI) of mining equipments initially at 75% reliability level excluding maintenance cost. Here we also suggested the setting of PMIs of the subsystems initially at 75% reliability.…”

Section: Reliability-based Preventive Maintenance Interval (Pmi) Estimentioning

confidence: 99%

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