CONDITION BASED MONITORING IMPROVES COMPONENT DURABILITY IN HEAVY EQUIPMENT MAINTENANCE

Abstract

This study aims to analyze the implementation of Condition-Based Monitoring (CBM) in heavy equipment maintenance strategies at PT XYZ, one of Indonesia's leading coal mining contractors. The research employed a qualitative method, including direct observation, interviews, and data analysis related to predictive maintenance based on CBM. The population of the study consists of heavy equipment units operated within PT XYZ, with samples including components such as magnetic plugs, filter cuts, and cylinder hoists. The instruments used include check sheets, technical interviews, and historical maintenance records. The findings indicate that CBM implementation at PT XYZ is effective in early detection of component failures through condition monitoring using sensors and data analysis. This strategy enables the company to reduce operational downtime by up to 25%, improve component durability, and extend the lifespan of heavy equipment according to factory standards. Condition-based maintenance also supports cost efficiency by minimizing unnecessary repairs. The rating system (A, B, C, X) prioritizes maintenance actions based on the severity of the component's condition.