Optimization of Mine Down-Hole Equipment Maintenance Strategy based on Fault Data

doi:10.23940/ijpe.19.10.p5.25972607

Abstract

Abstract: Aim

ing at the problems of poor operating conditions, low operating efficiency, and improper maintenance of mine down-hole equipment, a new maintenance strategy model for cycle prevention is proposed. The model comprehensively considers the effect of down-hole environment on the equipment failure rate and the effect of preventive maintenance and minor repairs to the cost. Based on the historical fault data, the equipment failure rate function parameters are estimated by the least square method and correlation coefficient method. Considering the down-hole environment, the fuzzy rate theory is used to correct the failure rate function, and the cycle prevention maintenance strategy model aiming at optimizing the equipment maintenance cost is established. Finally, an example is given. The research shows that the maintenance period is shortened to 23.64 h after optimization, and the total cost of maintenance is reduced from 574,621 yuan to 378,942.44 yuan, saving maintenance costs of 195,678.56 yuan. The maintenance strategy is in line with the actual situation of down-hole equipment in mining enterprises, and it can provide effective maintenance solutions for down-hole equipment in mine enterprises.

Key words: down-hole equipment, preventive maintenance, fuzzy theory, minor repair cost

Zhenzhen Jin, Qinghe Yuan, Yingqian Sun, Shun Jia, and Zhaojun Li. Optimization of Mine Down-Hole Equipment Maintenance Strategy based on Fault Data [J]. Int J Performability Eng, 2019, 15(10): 2597-2607.

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