Metals & Mining
Machine learning has the power to transform mining. Use predictive analytics to get early, accurate warnings of equipment failures, increase throughput by reducing unplanned downtime and improve safety by identifying potential risks well in advance.
Aspen Mtell is a prescriptive maintenance solution that uses agents to recognize asset failures earlier and with greater accuracy. Learn what an agent is, what they do, how they are created, and how they work—to safeguard equipment, people, and the environment.
Aspen Mtell autonomous agents predict impending failures, calculate the lead time and provide prescriptive guidance to mitigate or prevent breakdowns.
Related Content
Maximize Mining Equipment Effectiveness, Minimize Margin Loss
Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal opera...
White Paper
How Asset Performance Management Can Improve Margins for Mines
By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure.
Interactive Infographic
Creating the Intelligent Mine
Intelligent mining provides meaningful insight into everyday operations to support proactive decision making. Predictive maintenance solutions designed specifically for mining organizations help impro...
Interview with an Expert
Two Looming Failures Stopped Within Two Weeks of Monitoring
Executives at this mining company were looking for a new approach to proactively handle reliability issues for critical equipment.
Case Study
Adapting Mining Operations in Times of Instability
As mines deal with safety concerns, wildly fluctuating markets and unprecedented instability, digitalization can help address some critical challenges.
Blog
Mine Moves from Calendar-based to Prescriptive Maintenance with Aspen Mtell
When one of the world’s largest fully integrated zinc and lead smelting and refining complexes wanted to improve their metallurgical operations, the company turned to Aspen Mtell® prescriptive mainten...
Case Study
Digitally Enabled Reliability: Beyond Predictive Maintenance in Mining
Real-time condition-based monitoring of assets is an attractive solution for mining companies to minimize their unscheduled downtime and improve reliability of critical equipment. The success of an as...
Article