AI-DRIVEN PROGNOSTICS FOR INDUSTRIAL SYSTEMS

Card image cap
  • DURATION
    13 WEEKS
  • SUBJECT AREA
    Artificial Intelligence
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    0.0 HP
  • INSTITUTION
    REEDEAM
  • STUDY TYPE
    Distance
  • START DATE
    2024-10-21
  • END DATE
    2025-01-15

COURSE DESCRIPTION

This course is designed for engineers, scientists, operators, and managers interested in utilizing AI-based methods for condition monitoring and prognostics in industrial systems and high-value assets. Participants will learn to identify common failure causes and predict Remaining Useful Life (RUL) using historical data, involving tasks such as data processing, feature selection, model development, and uncertainty quantification. Led by experienced professionals from industry and academia, the course covers the basics of prognostics and introduces various AI methods, including deep learning. It represents state-of-the-art AI-driven prognostic techniques, advanced signal processing, and feature engineering methods.

Scheduled online meetings

November 11th 2024

January 15th 2025

courses you may also like