Widjaja, Ferdinand and Hendriana, Dena and Budiarto, Eka (2021) Predictive Maintenance of Mining Equipment in Indonesia Leading Heavy Equipment Company. Masters thesis, Swiss German University.

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Abstract

The use of heavy equipment in a production process, especially coal mining, is very dominant and is the main work tool. Therefore, the productivity of mining is very dependent on the performance of the heavy equipment used. In maintaining the performance of today's machines, it is not enough only with preventive and corrective maintenance, but also with predictive maintenance (PdM). Through PdM, it is expected that heavy equipment performance can be maintained properly because it can reduce the unscheduled breakdowns. PdM in this research aims to help prioritize heavy equipment routine service management, so that more urgent heavy equipment conditions will get priority for maintenance first so as to prevent unscheduled breakdowns compared to current service management which still uses time based as the only maintenance priority tool. PdM will focus on finding warnings and indicators that can be used to determine the remaining useful life (RUL) of engine components by using data from telemetry, oil analysis, historical component lifetime and other maintenance data. In this research, we get the predictive maintenance results in the form of 2 types of warnings and also the RUL prediction with a mean absolute error of 91 hours compared to the actual RUL.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Coal Mining, Heavy Equipment, Predictive Maintenance, Early Warning, Monitoring System
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TN Mining engineering. Metallurgy
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	20 Aug 2021 02:13
Last Modified:	20 Aug 2021 02:13
URI:	http://repository.sgu.ac.id/id/eprint/2179

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