Emerson's AspenTech redefines scalable industrial reliability with AI-driven asset performance management
Emerson announced the next evolution of its AspenTech Asset Performance Management (APM) portfolio. The latest release of Aspen Mtell® provides a pathway for companies to drive immediate value and seamlessly scale from foundational asset health monitoring to best-in-class, AI-enabled failure prediction and continuous operational improvement.
“The most successful enterprise reliability strategies are constantly improving,” said Heiko Claussen, chief technologist, Emerson’s Aspen Technology business. “Our heritage of deep domain expertise and AI makes maintenance strategies smarter and more actionable over time, without the complexity of traditional deployments and additional expert personnel requirements. Customers are maximizing asset performance and achieving measurable business value at every stage of their reliability journey.”
The latest innovations in Aspen Mtell enable a proactive enterprise reliability program that delivers continuous improvement. Key capabilities and updates to Aspen Mtell include:
- 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.
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