Minerals and Metals

01. Beyond Scheduled Maintenance: Data-Driven Predictive Maintenance for Mining Assets

Shifting away from fixed-interval maintenance models is a crucial transformation for enhancing mining operational efficiency. Today, leading mining companies are leveraging data to guide their maintenance efforts, enabling more effective management of key mobile assets like stackers/reclaimers, rock drills, electric rope shovels, and draglines. This transition significantly improves equipment reliability and operational efficiency. The ultimate goal is to perform necessary maintenance tasks at the most opportune time, based on the asset's actual condition—not just the calendar.

What is Preventive Maintenance (PM) and Why Optimize It?
Preventive maintenance is a proactive strategy involving regular equipment inspections, servicing, and repairs. Its primary purpose is to identify and address minor issues before they escalate into major failures or cause downtime. For mining mobile assets, optimizing this process is essential for maintaining continuous operations.

Traditional preventive maintenance programs follow fixed cycles, such as monthly inspections. While this approach is superior to waiting for equipment to fail, fixed schedules do not account for the asset's actual operating condition. This can result in servicing equipment that is functioning perfectly well or unexpected failures occurring just before a scheduled check. Optimizing maintenance strategy means moving from time-based planning to condition-based triggers. Utilizing real data to schedule maintenance work significantly enhances operational efficiency and prevents unplanned downtime.

Traditional maintenance methods reliant on fixed cycles have significant drawbacks. They not only lead to inefficiencies but also expose mining operations to unnecessary risks, creating an urgent need for smarter maintenance strategies.
02. The Core of Optimized Maintenance Planning: Data

Data-driven preventive maintenance is the modern solution to the challenges of traditional maintenance. It utilizes online and wireless condition monitoring systems to collect and analyze operational data, enabling smarter, more effective maintenance decisions.This advanced approach transforms maintenance from a rigid, scheduled activity into a dynamic, responsive process. The system uses condition monitoring technology to capture changes in mechanical stress in real-time and integrates all information into a unified software interface, providing comprehensive insights for decision-makers. Through continuous analysis of key parameters like vibration and temperature, the system can identify subtle changes indicative of potential failures, allowing maintenance tasks to be precisely scheduled before problems occur.

Introducing Data-Driven PM: The Future of Maintenance
Data-driven PM is the modern solution to the problems of traditional maintenance. It uses technology to collect and analyze operational data, allowing for smarter and more effective scheduling decisions.

This advanced approach transforms maintenance from a rigid, scheduled activity into a dynamic, responsive process. The system uses condition monitoring technology to capture changes in mechanical stress in real-time and integrates all information into a unified software interface, providing comprehensive insights for decision-makers. Through continuous analysis of key parameters like vibration and temperature, the system can identify subtle changes indicative of potential failures, allowing maintenance tasks to be precisely scheduled before problems occur.

Introducing Data-Driven Preventive Maintenance: The Future of Maintenance
Data-driven preventive maintenance is the modern solution to the challenges of traditional maintenance. It utilizes online and wireless condition monitoring systems to collect and analyze operational data, enabling smarter, more effective maintenance decisions.
03. Maintenance Applications for Key Mining Assets

Stackers/Reclaimers and Mobile Equipment Monitoring As core assets for stockyard management and material handling, heavy mobile equipment like stackers/reclaimers often face unplanned downtime due to periodic mechanical failures. We provide integrated condition monitoring solutions that can quickly identify increases in mechanical stress, capture valuable data, and consolidate all information into a unified platform, significantly enhancing equipment operational performance and production reliability.Electric Rope Shovels: Precision Monitoring for Complex Assets The mine environment is inherently high-risk, where the constant interaction between personnel and large mobile machinery creates a persistent hazardous setting. Unplanned downtime of electric rope shovels directly threatens personnel safety and production targets. By monitoring key components such as the crowd, hoist, and swing drives—particularly by analyzing the unique vibration signatures of rotating equipment—early signs of failure can be effectively detected, minimizing the risk of sudden breakdowns. Crushing Process Optimization The performance of the crushing process directly determines the efficiency of downstream grinding and flotation stages. Variations in ore size, hardness, and feed rate often lead to crusher blockages, conveyor belt damage, and screen wear, causing frequent stoppages. Real-time monitoring of equipment operating status enables timely adjustment of operating parameters, preventing screen clogging and excessive recirculation, thereby ensuring the stability and efficiency of the entire crushing process.

Beyond Scheduled Maintenance: Data-Driven Predictive Maintenance for Mining Assets
The Core of Optimized Maintenance Planning: Data
Maintenance Applications for Key Mining Assets

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Minerals and Metals

01. Beyond Scheduled Maintenance: Data-Driven Predictive Maintenance for Mining Assets

02. The Core of Optimized Maintenance Planning: Data

03. Maintenance Applications for Key Mining Assets

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