Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines

Author:

Robatto Simard Simon,Gamache Michel,Doyon-Poulin PhilippeORCID

Abstract

Preventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within underground mines, predictive maintenance practices are beginning to be applied to the mining equipment maintenance process. However, for the transition from preventive to predictive maintenance to succeed, researchers must first understand the maintenance process implemented in mines. In this paper, we conducted interviews with 15 maintenance experts from 7 mining sites (6 gold, 1 diamond) across East-Canada to investigate the maintenance planning process currently implemented in Canadian mines. We documented experts’ feedback on the process, their expectations regarding the introduction of predictive maintenance in mining, and the usability of existing computerized maintenance management software (CMMS). From our results, we compiled a summary of actual maintenance practices and showed how they differ from theoretical practices. Finally, we list the Key Performance Indicators (KPIs) relevant for maintenance planning and user requirements to improve the usability of CMMS.

Funder

Fonds de recherche du Québec - Nature et technologies

Publisher

MDPI AG

Subject

General Medicine

Reference56 articles.

1. A New MIP Model for Mine Equipment Scheduling by Minimizing Maintenance Cost;Topal;Eur. J. Oper. Res.,2010

2. Christiansen, B. (2022, November 29). Exploring Biggest Maintenance Challenges in the Mining Industry. Available online: https://www.mining.com/web/exploring-biggest-maintenance-challenges-mining-industry/.

3. A Model for Optimal Armature Maintenance in Electric Haul Truck Wheel Motors: A Case Study;Lhorente;Reliab. Eng. Syst. Saf.,2004

4. Discrete-Event Simulation of Mine Equipment Systems Combined with a Reliability Assessment Model Based on Genetic Algorithms;Yuriy;Int. J. Min. Reclam. Environ.,2008

5. Maintenance Decision Method Considering Inspection of Mining Equipment;Cao;Int. J. Metrol. Qual. Eng.,2021

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3