Intelligent solutions for condition monitoring and predictive maintenance

Smart Plastics Overview

i.Sense - Condition Monitoring Sensors:

• Smart sensors allow self-monitoring for select products
• Real-time alerts prevent unplanned downtime
• Value limits can trigger a system shut-down

i.Cee - Predictive Maintenance Software:

• i.Cee dashboard visualizes all movement data
• Increase user safety and product service life

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 predefined limits. Values outside the limits result in an alert or notification. This information provides the basis for taking subsequent steps, such as maintenance or shutting down the system. Values outside defined limits can directly trigger a system shut-down to prevent costly damages and repairs. At igus®, we use the term "i.Sense" (i feel) 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" (i see ahead) and is available in a wide variety of designs. The goal is always to maximize system and user safety and product service life.

Smart plastics general overview

Insight into the product portfolio for Industry 4.0

• Content overview:
• Condition monitoring (i.Sense)
• Condition monitoring products
• Condition monitoring application examples
• Predictive maintenance (i.Cee)
• Application examples for predictive maintenance
• How does data flow in the case of predictive maintenance?
  

Reliable condition monitoring in the crane industry

Heavy loads, long periods of use, and a wide variety of weather conditions – cranes must present a fantastic performance. To ensure this at all times, reliable condition monitoring concepts are needed.

Predictive maintenance in automotive production

In automotive production, the assembly lines never stand still. Smart production concepts in the style of predictive maintenance have long been established in these production lines.