Strive Reliable Heavy Equipment Main Component Lifetime with Oil Monitoring System in Condition based Maintenance Implementation Through IoT

Baskoro, Gembong (2021) Strive Reliable Heavy Equipment Main Component Lifetime with Oil Monitoring System in Condition based Maintenance Implementation Through IoT. Proceedings The 3rd International Conference on Business and Management of Technology. ISSN 9768-623-318-029-0

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Abstract

The high cost of investment in a heavy equipment machine needs to be supported with an excellent maintenance method to get high machine availability and productivity. Several methods have been implemented in maintenance process of heavy equipment machine, thus that the lifetime of the main components can be reliable. Condition Based Maintenance (CBM) is one of the maintenance activities that are trusted to be quite effective if implemented properly, to obtain a reliable component lifetime in accordance with users and factory expectation. Monitoring of the oil quality in main component of heavy equipment such as engine, transmission and hydraulic system component is one of the real CBM implementation in field. By comparing the viscosity, density, and dielectric values of SAE 15W oils with the lifespan of 500 hours, the parameters of oil quality. The rapid development of information technology in industrial 4.0, makes the Internet of Things (IoT) becomes supporting system in CBM, hence it can be done more effective and efficient. IoT allows all heavy equipment user and management know the quality of the oil condition in their heavy equipment component in real time condition. By monitoring of oil condition in heavy equipment components precisely, the planning of periodic maintenance can be well prepared. Abnormalities in the main components due to contamination that occurs in the oil can be detected and failure can be predicted earlier, the greater damage can be prevented, and the incurred cost of repairs can be minimized.

Item Type: Article
Subjects: T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Gembong Baskoro
Date Deposited: 23 Mar 2023 02:47
Last Modified: 23 Mar 2023 02:47
URI: http://repository.sgu.ac.id/id/eprint/2417

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