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Improving Predictive Maintenance Time-to-Value with Real-Time Visual Edge Analytics
Published on 05/30/2017 | Operations
Connected computing solutions are deployed worldwide in many different markets, includ- ing industrial automation, networking, healthcare, energy generation, transportation, and more. As more and more machines are managed by networked smart devices, the potential of predictive maintenance expands exponentially.
Predictive maintenance has the dual benefit of optimizing equipment uptime and perfor- mance while reducing the time and labor associated with inspections and preventive main- tenance This paper compares predictive maintenance with the traditional methods used to maintain deployed assets in the Internet of Things (IoT), exposing the latter as a costly, labor-intensive process that cannot ensure failure won’t occur between inspections.
You can read and download the full report on Wind River here.