Aspen Mtell®
Recognize unique data patterns as predictions of future equipment behavior and use those patterns to constantly monitor the real-time process to detect recurrences.

Failure agents autonomously detect patterns that lead to specific failures and issues warnings earlier and with greater clarity than anomaly detection-only solutions.

Use machine learning to find behavioral patterns in data from sensors on and around a machine or manufacturing process that indicate degradation, failure mode, and causality.
Aspen Mtell
Learn and Apply
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Introduction to Aspen Mtell

Here we introduce the concept of machine learning to monitor assets for potential issues that could cause unplanned downtime and creates a world that doesn’t break down.

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Aspen Mtell's Prescriptive Maintenance Refinery Case Study

Learn how Aspen Mtell's prescriptive maintenance worked with a major oil and gas customer to import sensor values that prevented machine breakdowns, resolved sensor quality issues and accurately class...

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Aspen Mtell - Industrial Internet of Things (IIoT)

Learn about the capabilities of Aspen Mtell to deliver IIoT solutions.

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Aspen Mtell Transfer Learning

Aspen Mtell has the ability to transfer alerts from one asset to other, identical assets. See the capabilities and how it dramatically improves the scalability and speed of rollouts.

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