Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series (2026) Hofmann B, Bründl P, Nguyen HG, Franke J Unpublished / Preprint Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach (2025) Frenkel J, Kirst S, Naumann S, Simon M, Seßner J, Roesler E, Onnasch L, Dziobek I Journal article Experimental Parameter Analysis for the Induction based thermal Demagnetization of PM Rotors from Electric Traction Drives (2025) Hahn R, Ihne T, Baader M, Franke J, Kühl A, Risch F Conference contribution Optimized Recycling Strategy for Permanent Magnet Drives of Electric Vehicles with Focus on Rare Earth Magnet Extraction (2025) Ihne T, Hahn R, Giesbert F, Baader M, Franke J, Risch F Conference contribution Concept for the production of perforated and endless paper-based slot insulation for use in rail-bound traction drives (2025) Vogel A, Wirthmann F, Fritsch S, Baader M, Franke J, Risch F Conference contribution Quality Monitoring in Laser Welding of Rectangular Copper Wires for Traction Drives Using a Broadband Process Light Sensor (2025) Baader M, Raffin T, Risch F, Franke J Conference contribution Optimized Recycling Strategy for Permanent Magnet Drives of Electric Vehicles with Focus on Rare Earth Magnet Extraction (2025) Ihne T, Hahn R, Giesbert F, Baader M, Franke J, Risch F Conference contribution Sustainability Assessment and Optimization in Construction Site: A Simulation-Based Approach (2025) Schlosser A, Schuderer P, Franke J Conference contribution Towards Imaginative Robots: A Generative Pipeline for Simulated Environments (2025) May C, Suchy L, Franke J, Reitelshöfer S Journal article Machine learning-based prediction of quality characteristics in joining processes to minimize destructive testing: A case study on crimp connections (2025) Hofmann B, Regenhardt K, Bründl P, Nguyen HG, Belagiannis V, Franke J, Risch F Journal article