𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐚𝐧 𝐞𝐪𝐮𝐢𝐩𝐦𝐞𝐧𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐢𝐬 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐚𝐬 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐚 𝐟𝐚𝐢𝐥𝐮𝐫𝐞. There is an important gap between the two. A condition monitoring system can identify an abnormal trend. An inspection can uncover a defect. Oil analysis can indicate deterioration. But none of...
Resources
insights
Why Mining Companies Still Struggle With Condition Monitoring (Even When They Have Plenty of Data)
Most mining operations already collect large volumes of equipment condition data. Oil analysis, telemetry, inspections, vibration monitoring and maintenance history all provide valuable insight into equipment health. Yet many maintenance teams continue to struggle...
Condition Monitoring in Mining: How to Turn Equipment Data into Better Maintenance Decisions
Mining operations already collect large volumes of equipment information. Oil analysis, telemetry, inspections, vibration, thermography, work orders, and component history can all reveal changes in asset condition. The harder problem is bringing those signals...
Why Mines Miss Value From Condition Monitoring Data (And How to Capture More of It)
Condition monitoring has never been more capable. Yet many mining operations continue to struggle with unplanned downtime, reactive maintenance, and unexpected equipment failures. Why? The answer may surprise you. Most mines do not have a condition monitoring problem....
Why Most Mining Maintenance Teams Are Drowning in Data and Acting on None of It
Key takeaways Mining sites already collect huge amounts of condition monitoring data, but when events, alerts, and alarms all get treated the same way, the important warnings often disappear into the noise. Better alarm management improves operational efficiency by...
Improving Maintenance Compliance: The Role of Human-in-the-Loop (HITL) AI in Mining
he most expensive problem in mining isn't a mechanical failure, it’s the Compliance Gap. Industry-wide, even when predictive software is "correct," a staggering percentage of alerts never result in a completed repair. Why? Because in a high-stakes environment, "The...
Integrating Predictive Maintenance Recommendations with CMMS: Closing the Action Gap
In the modern mine site, the hurdle isn't a lack of data; it’s the siloed data. We’ve all seen it: oil lab results in a PDF, telemetry alerts in a separate browser tab, and manual inspections on a clipboard. When data is fragmented, it creates a "Data-Rich,...
The Data Ancestry Gap: Why Generic Predictive Maintenance AI Increases Operational Risk
Why Generic AI Fails on the Mine Site In the race to digitize the mine site, a new risk has emerged: The Tech Graveyard. It’s the place where shiny, expensive "Predictive AI" tools go to die after failing to deliver actual uptime. The primary cause? A lack of maturity...
How Mining Organizations Reduce Reactive Maintenance in Critical Equipment
What Is Reactive Maintenance in Mining? Reactive maintenance in mining refers to repairing equipment only after a failure occurs. This approach often leads to unplanned downtime, production losses, and higher maintenance costs. Many mining operations aim to reduce...


