Methods and tools supporting maintenance of mining machines/Metody i narzędzia wspomagające utrzymanie ruchu maszyn górniczych

The paper discusses methods and tools supporting the maintenance of mining machines, crucial for ensuring their optimal performance and longevity in mining operations. Maintenance in the mining industry is paramount due to the demanding and harsh working conditions these machines face. The authors delve into various approaches and technologies aimed at enhancing maintenance practices for mining equipment.The study covers a range of maintenance strategies and tools, including preventive maintenance, predictive maintenance, and condition-based maintenance. Preventive maintenance involves regularly scheduled inspections and repairs to prevent equipment failure. Predictive maintenance utilizes data and analytics to predict when maintenance should be performed based on machine health indicators, such as vibration analysis or oil analysis. Condition-based maintenance focuses on monitoring equipment in real-time to detect anomalies and trigger maintenance activities accordingly.Furthermore, the authors explore various technological solutions employed in mining equipment maintenance, such as remote monitoring systems, Internet of Things (IoT) sensors, and predictive analytics software. These technologies enable continuous monitoring of machine performance and health parameters, facilitating timely interventions and minimizing unplanned downtime.Overall, the paper underscores the importance of adopting advanced maintenance methods and tools in the mining industry to optimize equipment reliability, increase productivity, and ensure safe working conditions for miners.