Industry 4.0 - igus Blog - Page 6

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Industry 4.0

i.Cee für vorbeugende Instandhaltung in Portallösungen

i.Cee Dashboard: preventive maintenance that you can touch … LIVE and in colour

Richard Habering | 21. May 2021

Very often, the utility of preventive measures such as forward-looking risk minimisation and preventive maintenance is not easy to see without a specific example case. Such cases are normally provided with theoretical insights or alternative use cases. To make it clear for smart plastics, we have spared no expense in preparing a real-life test case.

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Predictive maintenance: “glass ball” wizardry or real transparency and predictive information?

Richard Habering | 28. April 2021

Today we want to take a concrete look at how we solve this at igus with i.Cee, our smart plastics range for predictive maintenance. In summary, this intelligent linear system offers integrated wear measurement including the reporting of predictive maintenance information.

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Maintenance requirements recognised in advance with intelligent linear guides

Richard Habering | 15. April 2021

drylin linear guide systems have to withstand extreme conditions in continuous operation or even in abrasive environments. So that the the linear guides can slide without lubricant, igus relies on linear bearings made of high-performance polymers. But when should I change the bearing? The smart linear carriage from igus helps here. Due to intelligent sensors, the maintenance technician receives information about the maintenance requirement at the push of a button.

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Condition monitoring of linear robots

Richard Habering | 26. March 2021

This or something similar must have happened between Güdel and igus at one of the earlier Hannover Messe events. It was decided, probably along with a handshake, to feed the condition monitoring system from Güdel with the data from the condition monitoring system from igus (i.Sense).

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Condition monitoring and predictive maintenance in clean combination

Richard Habering | 19. March 2021

What is it? Condition monitoring and predictive maintenance optimally belong together and complement each other in a good system. The clean combination comes quite simply because we are talking about a train wash facility here. I would like to say that everyone knows a car wash. Some of you may have already noticed the energy […]

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