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Thursday, June 28 • 1:30pm - 2:20pm
EM9: Machine Learning for IIoT Predictive Maintenance

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Predictive Maintenance is one of the largest areas recognized for monetization in the Industrial IoT. Advanced failure prediction through the application of predictive maintenance can significantly reduce unplanned downtime in high volume manufacturing production lines.

This session provides a real-world framework, from endpoint to cloud, incorporating machine learning and advanced analytics for migration from preventative to predictive maintenance resulting in increased manufacturing efficiency and productivity. The framework encompasses the following areas:

  • Real-time analysis of sensor streams for visibility into system operation and areas for improvement
  • Time-critical communications and control to ensure efficient system operation and increased availability
  • Early identification of issues, utilizing machine learning techniques from edge to cloud, related to system degradation and operation before system failure / shutdown.

Each of the areas identified will be supplemented with real-world application examples in test or implemented in production facilities today.


Speakers
avatar for Dan Isaacs

Dan Isaacs

Director of Strategic Market Development, Xilinx
Dan is Director of Strategic Market Development at Xilinx. He is responsible for emerging technologies including machine learning, defining and executing the ecosystem strategy for the Industrial IoT.  Dan has co-sponsored the Security Evaluation Testbed and Smart Factory Machine... Read More →


Thursday June 28, 2018 1:30pm - 2:20pm
Meeting Room 211CD

Attendees (22)