Aspen Mtell delivers the earliest, most accurate warning of asset failures and unplanned downtime using failure agents that autonomously detect patterns in data.
Today, there’s a growing realization that maintenance alone cannot solve the problems of unexpected asset breakdowns. Market-leading companies have gone as far as they can with traditional preventative maintenance techniques, and are implementing machine learning and prescriptive analytics as part of their digital transformation initiatives. Predictive and prescriptive maintenance represent the next frontier.
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.Video
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