Application Areas, Use Cases, and Data Sets for Machine Learning and Artificial Intelligence in Production

Lecture notes in production engineering, pp. 504–513

Authors 4

1. Jonathan Krauß corresponding

   Fraunhofer Research Institution for Battery Cell Production

   Affiliation as printed

   Fraunhofer Research Institution for Battery Cell Production FFB, Bergiusstraße 8, 48165, Münster, Germany

2. Tom-Hendrik Hülsmann

   Fraunhofer Research Institution for Battery Cell Production

   Affiliation as printed

   Fraunhofer Research Institution for Battery Cell Production FFB, Bergiusstraße 8, 48165, Münster, Germany

3. L. Leyendecker Aachen Fraunhofer Institute for Production Technology IPT

   Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074, Aachen, Germany

4. Robert Heinrich Schmitt Aachen Fraunhofer Institute for Production Technology IPT Laboratory of Machine Tools and Production Engineering WZL

   Fraunhofer Institute for Production Technology IPT · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074, Aachen, Germany

   Laboratory of Machine Tools and Production Engineering WZL, RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany