Deep learning methods archive stunning performances in many disciplines like computer vision or natural language processing. For factory automation, deep learning is applied to detect anomalies and monitor the machine condition to increase productivity. In practice, we need to overcome multiple challenges: low quality datasets, missing domain knowledge and lack of performance metrics standards. In this session, we explain the usage of open source frameworks and configurable deep learning tools to create a condition-based maintenance system.

Target Audience: Decision Makers, Data Scientist, Factory Automation Experts
Prerequisites: Basic knowledge in data processing.
Level: Basic