Shorten diagnostic time and prioritize repairs to support sustained readiness and ensure the safety of your troops.
Prevent unplanned downtime and costly damage to turbine components.
Proactively identify impending issues on critical components to prioritize and plan maintenance.
Avoid in-service engine failures and plan for long-term component management.
Keep your fleet availability at target levels while improving operational efficiency.
Condition-based asset management is key to keeping our fleet availability at target levels while ensuring we are running at the lowest operating cost per hour.
Maintenance Manager at a large Canadian copper mine
By utilizing the Dingo Trakka® system , our company will streamline and standardize its predictive maintenance processes, tools and services worldwide.
Senior Director Operations Support Hubs for a leading gold mining company
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Preventing equipment failures and reducing unplanned maintenance is critical to productivity and the bottom line. Predictive maintenance with Trakka® will help better manage risk in your maintenance operation, eliminate unplanned equipment failures, and increase...
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Have you ever wondered what the difference is between predictive and preventative maintenance? Our VP of Customer Success, Chuck Tollman, delves into the subject and explores how mining companies are listening to machines to achieve greater efficiencies to improve the...
DINGO is the world leader in providing Predictive Maintenance solutions to asset-intensive industries, currently managing the health of over $13.5 billion of heavy equipment.
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