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Basic Guide to Predictive Maintenance

Basic Guide to Predictive Maintenance

How do you reduce the chance of unplanned equipment failure, reduce operating cost, extend component life, and increase availability, all while conducting the minimal amount of maintenance? On average, DINGO customers see a 20% increase in components operating in...

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See how the leading companies in mining, oil and gas, wind energy and rail sectors save millions annually with DINGO’s Asset Health solutions.

Beware The Black Box

Beware The Black Box

Australia's Mining Monthly -While artificial intelligence and machine learning are playing increasing roles in mining going forward, experts warn against black box thinking. DINGO is another company that deals with masses of data to help miners optimise outcomes -...

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Integrating Intelligence

Integrating Intelligence

International Mining - Digitalisation, automation and artificial intelligence have the ability to extend equipment life, improve performance and reduce downtime. Dan Gleeson looks into how widely these innovative solutions are being applied across industry. DINGO’s...

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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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