In the fast-paced world of industrial operations, unplanned downtime can be a silent killer—costing manufacturers and producers millions in lost productivity, repairs, and missed opportunities. What if you could predict equipment failures before they happen, optimize maintenance schedules, and even boost your sustainability efforts?

That’s exactly what the latest version of Aspen Mtell enables. As part of AspenTech V15, it transforms operations from reactive firefighting to proactive, efficient performance. Here is what’s new and why it matters for your plant or facility.

What’s New in Aspen Mtell?

Aspen Mtell has long been a powerhouse for AI-driven predictive maintenance, using machine learning to spot anomalies in equipment data and alert teams early. This release builds on that foundation with several significant enhancements, drawing on real-world feedback from industries such as oil & gas, chemicals, and manufacturing. Here are the highlights:

• Rapid Scalability: Industry- and asset-specific templates and market-leading analytics drive faster deployment of asset health monitoring across the enterprise, enabling quick ROI and seamless transition to AI-driven prediction.
• Accelerated Alert Resolution: AI-powered insights automatically group and prioritize alerts based on severity, risk, and historical data. Embedded failure mode and effects analysis prescribes corrective action, significantly streamlining risk resolution.
• Next-Level Operational Reliability: Direct connection with Emerson’s vibration monitoring solutions, AMS Machine Works, and AMS Device Manager.
• Seamless Enterprise Integration: Deliver actionable insights directly into existing enterprise resource planning workflows through deep integration with enterprise asset management systems.

Here is a quick, 3-minute video highlighting the new capabilities in the Aspen Mtell V15 release.

Visit the Mtell section on the AspenTech website for more information on driving improvements in asset performance management.