Intelligent solutions for condition monitoring and predictive maintenance

Condition monitoring (i.Sense)

Condition monitoring is the fastest, simplest way to combine many igus® products to form a self-monitoring smart plastics product. Sensors are mounted to measure values (such as temperature, forces and sound waves/vibrations) within pre-defined limits. Values outside the limits result in an alert or at least a notification. This information provides the basis for taking subsequent steps, such as maintenance or shutting down the system. As desired, values outside defined limits can directly trigger a system shut-down in order to prevent damage that is expensive to repair.
At igus®, we use the term "i.Sense" to refer to condition monitoring.
 

Predictive maintenance (i.Cee)

Predictive maintenance uses sensors, software, and the elements of condition monitoring to create a system that allows dynamic service life calculation and determines the best times for the maintenance of igus® products. This makes predictive maintenance the next step in achieving a comprehensive concept for smart energy supply and bearing technology. This predictive maintenance system is called "i.Cee" and is available in a wide variety of designs, offering a high degree of individuality. The goal is always to maximise system and user safety and product service life.  
We call our predictive maintenance system "i.Cee".

Are you looking for a shut-down function for your energy supply system in order to avoid a crash?

Are you trying to avoid software for monitoring your energy supply?

Do you want status reports to be displayed with LEDs?

Do you want the current service life of your igus® products displayed at all times?

Do you want to know when one of your igus® products should be maintained?

Do you want to avoid unscheduled machine downtime?

Do you want to make your energy supply and plain bearing technology Industry 4.0-capable?

You can discover more opportunities for the predictive maintenance area in the Smart Factory in our news overview.