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Life Prediction System - List of Manufacturers, Suppliers, Companies and Products

Life Prediction System Product List

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Igus's IoT life prediction system "i.Cee" that realizes predictive maintenance.

Igus's IoT life prediction system "i.Cee" that realizes predictive maintenance.

Predict the lifespan of cable carriers and robotic cables, realize IoT for moving parts, and implement predictive maintenance. Streamline preventive maintenance for manufacturing lines and cranes.

The igus smart plastic "i.Cee" system predicts the optimal replacement timing based on the usage conditions of movable parts such as cable carriers and robotic cables. It achieves IoT and predictive maintenance through sensors embedded in the components. **Lifetime Prediction Calculation System i.Cee** The lifetime prediction calculation system builds a system using sensors and software to calculate the service life while operating the equipment, allowing for the setting of optimal maintenance timing. i.Cee is the next step towards the implementation of a comprehensive smart Industry 4.0 system. Its goal is to maximize the safety of customer equipment and the lifespan of igus products. igus refers to the lifetime prediction calculation system as "i.Cee" (derived from "I see ahead"). If you have questions, want a direct explanation, wish to know how it can be used in actual lines, or would like to see the actual device, please feel free to contact igus. Meetings can be held either in person or online.

  • SMA_PROD_i.Cee_plus_II_2.jpg
  • SMA_GEN_basicflizz_i.Cee.jpg
  • Other cable related products
  • Other machine elements
  • Other safety equipment

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Technical Data: Lithium-ion Battery LIB-12

Technical Data: Lithium-ion Battery LIB-12

We estimate the lifespan of lithium-ion batteries for the next 10 years based on storage test data.

AKTS Corporation's Thermokinetics can predict lifespan from accelerated test data using reaction kinetics and the Akaike Information Criterion. The storage test for lithium-ion batteries is also an accelerated test, estimating the capacity retention rate 10 years into the future from data on battery capacity retention rates. Instead of estimating lifespan using conventional methods, we calculate the degradation reaction model and its activation energy from the obtained measurement data. From the obtained reaction kinetics parameters, we can derive capacity retention rate curves for various time and temperature environments. 【Features】 ■ Temperature levels: 3 examples: 20, 40, 55°C; capacity retention rate data can estimate the capacity retention rate 10 years into the future from 30 to 40 measurement data points. ■ The estimated capacity retention rate curve is provided with a 95% prediction interval using the bootstrap method. ■ The degradation reaction equation and activation energy can be determined. *For more details, please refer to the PDF document or feel free to contact us.

  • Other measurement, recording and measuring instruments
  • Lithium-ion battery

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