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Predictive Maintenance 101

What does it mean, and why is it important? Learn more from a new PMMI Business Intelligence report.

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Predictive maintenance is one smaller part of the broad concept of digitalization, or ‘Industry 4.0.’ It refers to the ability to monitor a machine, or machine component, and avoid unplanned downtime by foreseeing machine failure and allowing the opportunity to take preventative action. Since plant downtime can incur losses in the millions of dollars of lost output, an investment in predictive maintenance technology is a logical step.

According to Packaging and Predictive Maintenance, “Developments in predictive maintenance functionality for plant-level software have been taking place the longest. All the major digitalization platforms will offer the ability to perform advanced analytics on data being already collected by existing automation infrastructure; and there are numerous start-ups developing new platforms too.”

There are two areas where predictive maintenance technologies are taking place, and the second area of implementation – the factory floor – may have potential issues with assets that may or may not be connected to an existing infrastructure. Or, the measurements being collected by those that are connected, are not the right data to be most effective at performing predictive maintenance.

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