Availability simulation and analysis of armored face conveyor machine in longwall mining

Authors

  • Raziye Norouzi Masir Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran.
  • Mohammad Ataei
  • Farhang Sereshki
  • Ali Nouri Qarahasanlou https://orcid.org/0000-0003-1302-7176

DOI:

https://doi.org/10.17794/rgn.2021.2.7

Keywords:

Armored Face Conveyor (AFC), reliability, maintainability, Availability Simulation

Abstract

Since coal mining production systems are very complex therefore equipment for repair is more expensive. If the failure of the system, it will cause disturbances such as equipment out of reach, reduced operating time, increased production costs, and reduced equipment performance. Therefore, it is necessary availability of the coal mining industry is considered more than ever. For this purpose, Armored Face Conveyor (AFC) machine failure data gathered over 29 months from Tabas Coal Mine. Descriptive statistics, trends, and the serial correlation test of the data were calculated. Then, the system's mean and point availability have been simulated. Based on the results the mean availability (all events) and point availability (all events) at 360000 h are 96% and 95%, respectively. The mean time to first failure (MTTFF) of the AFC machine is about 23.61 h. In three metrics ReliaSoft Failure Criticality Index, ReliaSoft Downing Event Criticality Index, and ReliaSoft Downtime Criticality Index electrical equipping have the largest effect whereas the main drive subsystem is the least important. It was found that availability analysis control activities management and improvements in the quality, efficiency, and the product extraction.

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Published

2021-03-18

How to Cite

Norouzi Masir, R., Ataei, M. ., Sereshki, F., & Nouri Qarahasanlou, A. . (2021). Availability simulation and analysis of armored face conveyor machine in longwall mining. Rudarsko-geološko-Naftni Zbornik, 36(2), 69–82. https://doi.org/10.17794/rgn.2021.2.7

Issue

Section

Mining

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