DINGO’s Trakka Predictive Analytics solution utilizes artificial intelligence and machine learning to predict impending equipment failures with confidence, allowing miners to proactively perform corrective maintenance actions to minimize downtime and optimize asset...
Our Introduction to Predictive Maintenance article explained predictive maintenance and discussed the difference between reactive and proactive maintenance. In this article, we will break down popular maintenance strategies in the mining industry. Preventing equipment...
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...
Paul Higgins, DINGO CEO, shares his thoughts on how DINGO is bringing its world-class predictive maintenance solutions to the African market in partnership with local player, Krypton Mining.A partnership focusing on Asset Health “When we were looking for a partner in...
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's proven predictive maintenance solutions can help Gold Miners manage Asset Health remotely and maximize production--even in the midst of COVID-19
The ability to see Asset Health across operations in real-time and in one place enables your team to proactively make the right decisions from the CEO’s desk to mine managers to front line operators
A remote condition management system can be highly advantageous for miners - especially in the current environment.
Learn how to use Trakka to analyze, understand, and apply the insights from your sensor data to machine health.
Learn how to manage Truck Tray Wear with the Trakka Field Inspection App.