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
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...
Maintenance Software: Misconceptions on Predictive Maintenance
Paul Moore from International Mining spoke to the main mining software players about where software fits into digitisation and optimisation, and uncovered some common misperceptions about predictive maintenance along the way. DINGO says that after working with mines...
Big Data and Digitalisation: Leverage the Learning
International Mining - As the name suggests, big data is a vast and still-expanding sector that has been catching on in mining as companies look to squeeze more value out of existing assets. Dan Gleeson gets to the bottom of how those supplying these solutions are...
DINGO Opens A New Remote Asset Health Center in Denver
By opening advanced Asset Health Centers in key locations, DINGO is paving the way forward in delivering the highest standard of reliability, efficiency and safety to clients 24 hours a day, 7 days a week. DINGO Software, the world leader in providing predictive...
The Mechanics of A New Era in Maintenance
CIM Magazine - A combination of hands-on expertise and high-tech tools offer big wins to operators working to keep on top of downtime Teck Resources has added machine learning to its mobile equipment monitoring to help better identify patterns that may predict...
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...
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...
Utilising Digital Enablement For Increased Productivity
At the 2018 Future of Mining Conference, DINGO CEO, Paul Higgins, spoke on the hot topic of increasing productivity through digital enablement. He discussed the challenges created by the flood of sensors and real-time data, and then delved into IoT solutions that...