Trakka 4.8.8 has now been released, see attached release notes for more info of what's new in the release. Trakka Release Notes 4.8.8 - English Trakka Release Notes 4.8.8 - Spanish
Trakka 4.8.8 Release Notes
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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.
5 Mejores Prácticas para el Big Data & Mantenimiento Minero
DINGO - 5 MEJORES PRÁCTICAS PARA EL BIG DATA & MANTENIMIENTO MINERO En este libro electrónico de 8 páginas, aprenderá las 5 mejores prácticas para ayudar a su operación a aprovechar los datos y recursos existentes para optimizar las prácticas de mantenimiento y...
Power of Asset Health & Performance Dashboards
In order to gauge the ongoing performance of your predictive maintenance program and improve compliance, it's important to measure results that tie directly to your KPIs. Using asset health and performance dashboards, TRAKKA shows condition data from the operation...
The Practical Application of Predictive Analytics
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...
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...
Predictive Maintenance & IoT Impact on Mining
Many operations use preventative maintenance, the traditional method for keeping equipment maintained and running properly. Preventive maintenance is triggered by factors such as meter readings and manufacturer service recommendations. The downside to this method is...
Types of Maintenance: Different Strategies Explained
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...
How Using Predictive Maintenance Can Extend Machine Life
Preventing equipment failures and reducing unplanned maintenance is critical to productivity and the bottom line. Mining is equipment intensive; the equipment is expensive to maintain, operate and replace. This cost of unplanned downtime is a major reason why waiting...
Global Miner Improves Asset Wellness
One of DINGO's largest customers is among the world's top five producers of export metallurgical coal. Their Met Coal division alone produces approximately 30 million tonnes annually of saleable coal from its operations in Australia and Canada, which is then provided...
How Trakka Uses Predictive Analytics to Prevent Unplanned Downtime
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...
Krypton Partnership Takes Dingo to South Africa
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...
Predictive Vs. Preventative Maintenance: The Key to Unlocking ROI
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...
Increasing Gold Mining Productivity through Remote Asset Health Management
DINGO's proven predictive maintenance solutions can help Gold Miners manage Asset Health remotely and maximize production--even in the midst of COVID-19