Author:
Cao Xian Gang,Zhang Meng Yuan,Gong Yu Rong,Jia Xiao Lin,Zhang Rui Yuan
Abstract
In coal mining industry, equipment safety and reliability during operation are essential in the production process. In recent years, along with the continuous improvement of intelligent coal mining equipment, reliable production requirements have simultaneously increased. Therefore, this article aims to study the maintenance decision making method that considers the safety inspection of a fully mechanized mining equipment group. The goal is to establish a maintenance decision making model that considers the safety overhaul of fully mechanized mining equipment group in order to minimize the total maintenance, production costs and safety risks. Firstly, the regular safety inspection procedure and the maintenance process were introduced. Then, a model guideline method that considers a fully mechanized mining equipment group's safety inspection was established. Finally, through the comparison of algorithms and maintenance strategies, it is proved that the maintenance decision optimization method proposed in this paper is of great significance for improving equipment reliability, improving comprehensive operation rate, reducing maintenance costs, and ensuring coal mine safety production.
Funder
multi-source heterogeneous data-driven comprehensive mining equipment group health evaluation and multi-objective predictive maintenance decision-making
research on basic theory of digital coal mine and intelligent mining
Subject
Safety, Risk, Reliability and Quality
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