Machine Learning is becoming increasingly relevant in industry for decreasing costs and increasing efficiency using predictive maintenance techniques. By making use of machine learning, it is possible to build a model that makes predictions based on sensor input data in the presence of uncertainty.
In this session, we will explore:
- the use case of predictive maintenance with deep learning model
- determining the condition of an engine to estimate when maintenance should be performed
- how to optimize deep learning models to make it fit into your embedded application without compromising performance and energy efficiency
Join IAR Systems for this session for practical and applicable knowledge to effectively use your embedded application.
