Canvas Category Software : Information Technology : Machine Health

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Primary Location Cincinnati, Ohio, United States

Financial Status VC

Solving unplanned downtime through AI-based predictive analytics solutions that provide actionable data insights to drive real-world impact in industrial applications. Our solutions combine expertise in IIoT, Industrial AI, Big Data, Machine Learning, Predictive Analytics and Business Impacts to remove the guesswork from industrial operations through process uptime, production planning, and optimized upkeep by providing actionable information and accurate predictions that empower you to have a transparent, worry-free business. We know what happens next, and so can you.

Assembly Line

A pressing case for predictive analytics at MacLean-Fogg

📅 Date:

🔖 Topics: metal forming, predictive maintenance, machine health

🏭 Vertical: Fabricated Metal

🏢 Organizations: MacLean-Fogg, Predictronics

Metform chose to focus specifically on the AMP50XL’s drive train because “that was the area where we saw the biggest opportunity for improve­ment.” While they’d previously been gathering data from the machine for predictive-maintenance use, the old process was neither efficient nor of ade­quate detail, they realized. “From a data collection standpoint, there was a lot of spreadsheets, a lot of handwritten notes, a lot of tribal knowledge,” Delk said. “We wanted to make sure we could gather that information and put it into context as we were ana­lyzing the equipment.”

“We’re able to monitor the machine health, see in real time how the machine is doing and see a signal of a problem before it becomes a major problem. We have a long way to go in terms of learning how to better use the system and gain further confidence in the system, but at this point, I’m really pleased with the progress we made. I’m anxious to expand this to the other nine Hatebur presses.”

Read more at Plant Engineering