Using Intelligent Analytics to Improve Predictive Maintenance

Streamlining predictive maintenance, improving production levels, and reducing waste and costs are constant challenges on factory floors everywhere. Intel factory floors are no exception. One of our most impactful weapons to combat these challenges is with end-to-end data analytics.

We recently ran a proof of concept (PoC) of our intelligent gateway solutions at our CPU assembly and test manufacturing facility in Penang, Malaysia. The new family of intelligent gateway solutions based on Intel architecture establishes connectivity between factory floor systems—specifically, pick-and-place robotic arms—and the cloud.

Manufacturing at the Panang facility needed to securely extract data from the robotic arms as well as manufacturing databases to improve operational efficiency. Using intelligent gateway technology, we securely connected sensors mounted on the robotic arms to a backend data center, and then extracted data pertaining to acceleration, vibration, heat and more. We also collected data from the CPUs being manufactured.

After running intelligent analytics on all the extracted data, we could predict ensuing misalignment of the robotic arms before it happened. By doing so, we helped manufacturing:

  • Improve prediction of when tools on the factory floor needed maintenance/service (predictive maintenance)
  • Scheduled service at intervals that would have the least amount of impact to production
  • Optimized factory yields by limiting downtime and scrap

Ultimately, this will result in reduced maintenance and scrap costs and higher product margins.

If you have any questions about this application of intelligent gateway solutions, then you can contact me on Twitter: @Intel_Shahram.

Learn more about extracting business intelligence from the Internet of Things.

Learn more about Intel industrial solutions.

Shahram Mehraban

About Shahram Mehraban

Global Head of Energy & Industrial Segments, Intelligent Systems Group INTEL CORPORATION Mehraban currently leads a team of marketing engineers and platform architects to drive solution-centric product innovation in Intel's embedded energy and industrial businesses. In this role he is responsible for setting research directions, conducting comparative qualitative and quantitative research globally, leading new product and solution strategy and definition for Intel in the power and automation industries. Prior to joining Intel in 2000, he held a number of technical marketing and business development roles at Trillium, Glenayre, Nokia and Motorola. Mehraban received his Bachelor's degree in Chemistry from University of British Columbia in 1992 and Master's degree in Business Administration from University of Victoria in 1995. He is a self-proclaimed tech enthusiast and early adopter of all types of consumer electronics. He likes to run and watch European soccer on the weekends. Continue the conversation on Twitter, @Intel_Shahram

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