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A New Way to Prevent Impending Failures

A New Way to Prevent Impending Failures

Australia's Mining Monthly - DINGO has developed a Predictive Analytics solution that uses artificial intelligence and machine learning to identify impending equipment failures. However, as good as this system sounds, it is being seen as merely a step down the path to...

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A Data Grail

A Data Grail

Building a truly predictive model is the holy grail for many miners. Predictive maintenance expert and DINGO director of product engineering, Colin Donnelly, tells how it can be done in an interview with Noel Dyson, editor of Australia's Mining Monthly. One of the...

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Don’t Let Predictive Maintenance Erode Your MTBF

Don’t Let Predictive Maintenance Erode Your MTBF

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...

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Making The Machines Work For You

Making The Machines Work For You

DINGO’s Chief Operations Officer, Gary Fouche, thinks data is one of the most important drivers of the business. We asked him how data is made even more valuable when predictive analytics and machine learning come into play. What excites you most about predictive...

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