Reliability analysis of the compressed air supplying system in underground mines

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作者
Mohammad Javad Rahimdel
Behzad Ghodrati
机构
[1] University of Birjand,Department of Mining Engineering, Faculty of Engineering
[2] Lulea University of Technology,Division of Operation and Maintenance Engineering
来源
Scientific Reports | / 13卷
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摘要
Despite the high cost and low efficiency, compressed air is mostly used in underground mining for ore extraction, hoisting, and mineral processing operations. Failures of compressed air systems not only threaten the health and safety of workers but also contribute to inefficient control of airflow and stopped all equipment that operates by compressed air. In such uncertain conditions, mine managers are faced with the big challenge to supply enough compressed air, and therefore, the reliability evaluation of these systems is essential. This paper aims to analyze the reliability of the compressed air system using the Markov modeling approach as a case study, Qaleh-Zari Copper Mine, Iran. To achieve this, the state space diagram was constructed considering all relevant states for all compressors in the main compressor house of the mine. The failure and repair rate of all main and reserve compressors were calculated for all possible transitions between states to obtain the probability of being of the system in each of the states. Moreover, the probability of failure at any time period was considered to study the reliability behavior. The results of this study show that there is 31.5% probability that the compressed air supplying system is in operating condition with two main and one standby compressors. The system probability that two main compressors are remain in the operation without failure for one months is 92.32%. Furthermore, the lifetime of the system is estimated 33 months when at least one main compressor is active.
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[1]  
Friedenstein BM(2018)Simulating operational improvements on mine compressed air systems S. Afr. J. Ind. Eng. 29 69-81
[2]  
Cilliers C(2015)Optimization of air quantity regulation in mine ventilation networks using the improved differential evolution algorithm and critical path method Int. J. Min. Sci. Technol. 25 79-84
[3]  
Van Rensburg J(2019)Failure prediction of mine compressors J. Fail. Anal. Prev. 19 976-985
[4]  
Chen K(2021)Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm Sci. Prog. 104 00368504211026110-19
[5]  
Si J(2020)An online compressor liquid floodback fault diagnosis method for variable refrigerant flow air conditioning system Int. J. Refrig 111 9-3780
[6]  
Zhou F(2018)Single and combined fault diagnosis of reciprocating compressor valves using a hybrid deep belief network Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 232 3767-669
[7]  
Zhang R(2011)Reliability estimation of auxiliary ventilation systems in long tunnels during construction Saf. Sci. 49 664-37
[8]  
Shao H(2017)Evaluating crusher system location in an open pit mine using Markov chains Int. J. Min. Reclam. Environ. 31 24-355
[9]  
Zhao H(2014)Development of a Markov model for production performance optimisation. Application for semi-automatic and manual LHD machines in underground mines Int. J. Min. Reclam. Environ. 28 342-604
[10]  
Jacobs JA(2020)Reliability-based performance analysis of mining drilling operations through Markov chain Monte Carlo and mean reverting process simulations Simulation 96 593-89