Evaluating machine utilization times for roadheaders used in coal mines: Regression and artificial neural network analyses

Q4 Engineering

Scientific Mining Journal Pub Date : 2023-10-17 DOI:10.30797/madencilik.1310876

Sair KAHRAMAN, Masoud ROSTAMİ, Behnaz DİBAVAR

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引用次数: 0

Abstract

Roadheaders are extensively utilized for tunnel heading rock engineering applications all over the world. To create a work plan and calculate costs, it is critical to forecast roadheader performance as precisely as possible. Machine utilization time (MUT) is required for the calculation of daily advance rate of roadheaders. This paper investigates the values of MUT for roadheaders used in underground coal mines. The performance measurements were conducted on fifty different locations for axial machines and thirty-nine different locations for transverse machines. MUT values vary from 15 % to 37.5 % with an average of 26.3 % for axial roadheaders, and vary from 6.9 % to 37.9 % with an average of 18.4 % for transvers roadheaders. The average MUT is 25.4% for all measurements. The percentage of average support time approximately equals to the average MUT. Multiple regression and artificial neural network models were also developed for estimating MUT. Concluding remark is that the determined MUT values and the derived estimation models for roadheaders will be very useful for coal miners.

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煤矿掘进机机器使用时间评价:回归与人工神经网络分析

掘进机在世界范围内广泛应用于隧道掘进岩石工程。为了制定工作计划和计算成本，尽可能精确地预测掘进机的性能至关重要。计算掘进机的日进步率需要机器使用时间(MUT)。本文探讨了煤矿井下掘进机的MUT值。性能测量进行了50个不同位置的轴向机和39个不同位置的横向机。轴向掘进机的MUT值从15%到37.5%不等，平均为26.3%;横向掘进机的MUT值从6.9%到37.9%不等，平均为18.4%。所有测量的平均MUT为25.4%。平均支持时间的百分比大约等于平均MUT。此外，还建立了多元回归模型和人工神经网络模型来估计MUT。总而言之，确定的掘进机MUT值和导出的估计模型对煤矿工人是非常有用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Mining Journal Engineering-Industrial and Manufacturing Engineering

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Scientific Mining Journal, which is published i n open access electronic environment and i n printed, is a periodical scientific journal of Union of Chambers of Turkish Engineers and Architects Chamber of Mining Engineers. The name of the journal was "Mining" until June 2016 and it has been changed to "Scientific Mining Journal" since September 2016 because it can be confused with popular journals with similar names and the ISSN number has been updated from 0024-9416 to 2564-7024. Scientific Mining Journal, published four times a year (March-June-September-December), aims to disseminate original scientific studies which are conducted according to the scientific norms and publication ethics at national and international scale, to scientists, mining engineers, the public; and thus to share scientific knowledge with society. The journal is in both Turkish and English. The journal covers theoretical, experimental, and applied research articles, which reflects the findings and results of an original research i n the field of mining engineering; review articles, which assess, evaluates, and interprets the findings of a comprehensive review of sufficient number of scientific articles and summarize them at present information and technology level; technical notes, which may be defined as a short article that describes a novel methodology o r technique; a case studies, which are based on the theoretical o r real professional practice and involves systematic data collection and analysis.