DocumentCode :
3313110
Title :
Study on Mine Equipment Systems Combined with a Reliability Assessment Model
Author :
Jingxia, Dai
Author_Institution :
China Univ. of Min. & Technol., Beijing
Volume :
2
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
744
Lastpage :
747
Abstract :
This thesis discusses a methodology involving the merging of a reliability assessment model based on genetic algorithms with simulation. The purpose of the simulation study in this thesis is to assess the impact of equipment failures to mine production throughput. Two simulation models are developed using different simulation tools. The end results demonstrate a successful application of the methodology to study the impact of equipment failure on a mine pruduction. There is potential for future research involving methodology developed in this thesis. Logically,the next undertaking would be to incorporate failure patterns for all equipment. A second future direction is to incorporate other predictive models into the methodology and study and compare the results with the genetic algorithm model presented in this thesis.
Keywords :
discrete event simulation; failure analysis; genetic algorithms; mining equipment; mining industry; reliability; discrete event simulation; equipment failure pattern; genetic algorithm; mine equipment system; mine production throughput; mining industry; predictive model; reliability assessment model; Algorithm design and analysis; Discrete event simulation; Equipment failure; Exponential distribution; Failure analysis; Genetic algorithms; Maintenance; Mining equipment; Predictive models; Reliability theory; genetic algorithm; reliability; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
Type :
conf
DOI :
10.1109/NSWCTC.2009.68
Filename :
4908576
Link To Document :
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