Collaborative R&D Project 2018

Artificial Intelligence

Person using a futuristic head up display (HUD) interface screen with data and key performance indicators (KPI) for business intelligence (BI) analytics, concept about financial dashboard, technology and virtual reality (VR)
© Fotolia

How can AI technologies be used effectively to optimize processes in turbomachinery?

 

Challenge and Motivation

  • Data analytics and artificial intelligence bare high potential to include expert knowledge and optimize processes along the whole value chain.
  • Despite many cost-benefits advantages, AI applications are barely implemented in production environment.

Objective

  • Learn about AI, most common methods and algorithms and where these are applied
  • Discuss already existing best practices using artificial intelligence in production environment
  • Assessment of application and cost-benefits-potentials along the whole supply chain.