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Performance evaluation of mining equipment in surface coal mine using reliability analysis
Author(s) -
Harish Kumar. N.S.,
Rahul P. John,
Prem Chand R,
Sujith Kumar S.G,
N. Sreedhara Murthy,
T Siddesh.
Publication year - 2022
Publication title -
journal of mines, metals and fuels
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 11
ISSN - 0022-2755
DOI - 10.18311/jmmf/2021/30119
Subject(s) - shovel , reliability (semiconductor) , reliability engineering , coal mining , engineering , mean time between failures , markov process , markov chain , markov model , failure rate , process (computing) , coal , computer science , statistics , mechanical engineering , mathematics , waste management , power (physics) , physics , quantum mechanics , machine learning , operating system
This article deals with reliability analysis of mining equipment such as shovels and dumper in a surface coal mine at The Singareni Collieries Co. Ltd., Telangana, by using the RBD and Markov model. First, the method is to obtain the MTBF and failure rate of the individual subsystem of a shovel and each dumper using RBD. Second, the attribute of the reliability-based Markov model is dissected. The method is shown to be an effective technique to obtain the reliability of the whole system of shovel and dumper during the working period. Then, the mathematical model has written to obtain the reliability of the whole system of the shovel and the dumper is described along with its validation. The outcome shows that the reliability with a time of the entire framework is the unwavering quality incorporated of subsystems and can be treated as a factor for the optimized process of availability of the same.

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