Industrial Internet Consortium Launches Smart Factory Machine Learning Testbed

By Chantal Polsonetti

Acquisition or Partnership

The Industrial Internet Consortium (IIC) announced the Smart Factory Machine Learning for Predictive Maintenance Testbed. The testbed is led by two companies, Plethora IIoT, designing and developing cutting-edge answers for Industry 4.0, and Xilinx.

This testbed is designed to explore machine-learning techniques and evaluate algorithmic approaches for time-critical predictive maintenance. This knowledge leads to actionable insight enabling companies to move away from traditional preventative maintenance to predictive maintenance, which minimizes unplanned downtime and optimizes system operation. The intent is to ultimately help manufacturers increase availability, improve energy efficiency and extend the lifespan of high-volume CNC manufacturing production systems.

Additional IIC member companies participating in this testbed include: Bosch, Microsoft, National Instruments, RTI, System View, GlobalSign, Aicas, Thingswise, Titanium Industrial Security, and iVeia. They provide technologies to enable the Smart Factory Machine Learning testbed, including:

  • Factory automation

  • OT and IT security

  • Edge to cloud machine learning and analytics

  • Time-sensitive networking (TSN)

  • Data acquisition

  • Smart sensor technology

  • Design implementation

  • Embedded programmable SoC technology

  • Secure authentication


Plethora IIoT and Xilinx will provide more information on this testbed at the EMO 2017 trade show, from 18-23 September in Hannover, Germany. They can be found in Hall 25 at Stand B60, in the Industry 4.0 area.

Keywords: Industrial Internet Consortium (IIC), Machine Learning, Predictive Maintenance, High-Volume Manufacturing, Industrial Internet of Things (IIoT), Industry 4.0, ARC Advisory Group.

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