Machine learning in production–potentials, challenges and exemplary applications
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Towards a smart electronics production using machine learning techniques
High quality and low costs are main drivers in electronics production. Regardless of the
application, the trend towards batch size 1 heavily challenges current production systems …
application, the trend towards batch size 1 heavily challenges current production systems …
Machine learning in electric motor production-potentials, challenges and exemplary applications
Artificial intelligence entails a wide range of technologies, which provide great potential for
tomorrow's electric motor production. Above all, data-driven techniques such as machine …
tomorrow's electric motor production. Above all, data-driven techniques such as machine …
Quality Monitoring of Hairpin Joints Using Optical Coherence Tomography and Machine Learning
T Raffin, M Baader, M Masuch… - 2024 1st International …, 2024 - ieeexplore.ieee.org
Modern stators for electric traction drives rely on a technique known as hairpin winding,
which necessitates laser beam welding to join rectangular copper conductors. As stators …
which necessitates laser beam welding to join rectangular copper conductors. As stators …