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All Journal Mechatronics, Electrical Power, and Vehicular Technology Sinergi Jurnal Ilmiah Teknik Industri International Journal of Innovation in Mechanical Engineering and Advanced Materials Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Applied Science and Advanced Engineering
Henry Nasution
Automotive Development Centre, Universiti Teknologi Malaysia Skudai, Johor, Malaysia 81310
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Journal : Journal of Applied Science and Advanced Engineering

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Optimizing Condition Based Maintenance for Assessing Failure Indicators in Heavy Equipment Components Werdaya, Najih M.S.; Hendriana, Dena; Nasution, Henry
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.43

Abstract

The coal industry remains attractive business, making heavy equipment quite essential for efficient coal mining operations. Effective maintenance of this equipment is crucial for maintaining performance, as breakdowns and component failures can lead to significant losses and disrupt mining activities. To mitigate these risks, this study focuses on optimizing Condition-Based Maintenance (CBM) to better identify and reduce component failures. To optimize CBM, especially in assessing component health, an index has been developed to represent component condition. Fifteen parameters are used to determine the health of Komatsu HD785-7 engine components. Each parameter plays a distinct role and carries a different weight in identifying failure indicators for the components. The determination of these weights requires operational analysis approach to achieve optimal values. The index used to represent engine component health is called the Condition Monitoring Index (CMI). Through rigorous monitoring and evaluation, the incidence of unscheduled overhauls can be significantly reduced. The CMI can serve as a guide for determining subsequent proactive maintenance actions. Continuous monitoring and evaluation are essential for detecting early engine component failures.
Co-Authors Afiq Aiman Dahlan, Afiq Aubaidellah, Nurul Hanim Azhar Abdul Aziz Azhar Abdul Aziz, Azhar Eka Budiarto, Eka Hartono Hartono Hendriana, Dena Kasni Sumeru Khamdi, Nur Mohd Farid Muhammad Said, Mohd Farid Muhammad Mohd Rozi Mohd Perang Mulyadi Mulyadi Sandjaja, Edwin Sofianti, Tanika Dewi Susanto, Willi Immanuel Togar Wiliater Soaloon Panjaitan Werdaya, Najih M.S. Zulkarnain Abdul Latiff, Zulkarnain