Resources
predictive maintenance
Teck coal cardinal river – people and programs
Teck Coal's Cardinal River Operations prove that having the right systems in place yields world-class results Global mining operations are facing higher operating costs and weaker commodity prices. In this challenging environment, it is becoming increasingly important...
An Introduction to Predictive Maintenance
Mining is equipment intensive; the equipment is expensive to maintain, operate and replace. In some cases, an unplanned failure can result in up to $3,000/hour of lost production or over $70,000/day. This cost alone is a significant reason why waiting for assets to...
4 Myths About Predictive Maintenance in the Mining Industry
After working with mines from around the world for over 25 years, we’ve heard quite a few concerns – and misperceptions – about predictive maintenance. To help you understand the truth about predictive maintenance, we’ve addressed four of the top myths in this...
The Secret to Improving Mean Time Between Failures
Mean Time Between Failure (MTBF) is a closely monitored key performance indicator for mining operations. MTBF is the sum of lengths of the operational periods divided by the number of observed failures. In other words, it measures the mean time, in hours, from when a...
Successfully Implement Predictive Maintenance
In a recent Reliability Centered Maintenance Survey, reliability professionals were asked, "Do any reliability methods work? "A majority, 70%, replied, "no." At DINGO, we have found that the obstacles to success can be broken down into three categories: people and...
