Keyword:

i.Sense

Finally, the great smart plastics online seminar at the end of the year

Richard Habering | 14. December 2021

The topic of our last online seminar for 2021 was "Reliably monitoring cables in energy supply system applications, extending service life, and avoiding production downtimes".

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Fast AND smart: the micro flizz safely guides energy, data and media … even in the Industrial Internet of Things.

Richard Habering | 5. November 2021

Guiding energy, data and media in the tightest of spaces at high speeds is a major challenge for many users, such as those working in intralogistics. The igus micro flizz offers a compact energy supply system for travels of up to 100 metres. If the user wants to monitor his bus cable's transmission characteristics, igus now offers the intelligent CF.D system. It monitors the cable's data transmission characteristics predictively and warns of failure in good time.

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“Last line of defence” – How i.Sense EC.P saved an international port operator from massive total failure

Richard Habering | 26. October 2021

The port – a harsh and salty environment with high machine duty cycles, not a place for unexpected system downtime. Heavy loads, long operating times and a wide variety of weather­­conditions – cranes in port facilities have to deliver top performance. To ensure this at all times, reliable condition monitoring concepts are needed. I would like to briefly explain how this looks in practice and what advantages it creates for the users using the following 'best practice' example of an international port operator.

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“Data is the new oil” – How the igus test laboratory generates raw data that drive all smart plastics products

Richard Habering | 28. July 2021

Anyone who can make reliable, useful maintenance predictions is one step ahead of the competition. In the age of digitalisation, more than Big Data is required for such predictions. To derive correct maintenance scheduling recommendations from the sensor data, we therefore compare them with long-term empirical values from the igus® test database.

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ZERO DOWNTIME – How predictive maintenance is revolutionising automotive production

Richard Habering | 14. July 2021

In automotive production, the line never stops. On average, an engine comes off the assembly line every 14 seconds. To avoid unplanned downtime and system breakdowns, many German and international automotive factories are already using modern maintenance concepts with predictive maintenance.

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