aspenONE^® Asset Performance Management (APM)

Drive uptime with actionable insights from models and machine learning

The Science of Maintenance

Get accurate failure alerts weeks or months in advance with real-time data and predictive analytics.

A Multi-Level Approach

Leverage the combination of prescriptive maintenance, root cause analysis, RAM analysis and more to address issues at the equipment, process and system levels.

Rapid Time to Value

Quickly deploy automated Asset Performance Management solutions through low-touch machine learning to predict asset failures and reduce downtime — plant-wide, system-wide or across multiple locations.

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“Improving reliability positively impacts a wide range of issues, from reducing current maintenance costs to planning for abnormal process conditions, avoiding emergency or unplanned shutdowns and successfully managing unpredictable feed and demands. Saras expects to achieve savings from this initiative, which is part of an important digitalization project.”

- Alessandro Zucca, Digital Platform Manager, Operations and Assets, Saras

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On-Demand Webinar

APM Benchmarking Study Results: How Do You Stack Up?

How effective is your asset performance management strategy? During this webinar, ARC Advisory Group Analyst Peter Reynolds shared the results of a recent APM benchmarking survey. View the on-demand w...

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Driving Operational Excellence through Digitalization: An Interview with AspenTech CEO Antonio Pietri

In this interview with ARC Advisory Group analyst Peter Reynolds, AspenTech President and CEO Antonio Pietri describes how the process industries are leveraging new technologies—including cloud comput...

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From Reactive to Proactive: Machine Learning Drives Better Business Outcomes

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

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Preventing Process Breakdowns with Aspen Mtell

See how Aspen Mtell prescriptive maintenance prevents catastrophic failure of a centrifugal gas compressor by enabling real-time process adjustments to prevent liquid carryover. This video demonstrate...

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Aspen Fidelis Reliability: Empowering Confident Decision-Making

See how Aspen Fidelis Reliability enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.

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Machine Learning Signals the End of Unplanned Hyper Compressor Downtime

Failures that cause unplanned downtime result in emergency repair costs up to 5X higher than planned maintenance expenses. Download this infographic to see the savings that can be achieved using Aspen...

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