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Reinhardt Seidel
Reinhardt Seidel
Research Assistent, FAU Erlangen-Nürnberg, Institute for Factory Automation and Productionsystems
Adresse e-mail validée de faps.fau.de - Page d'accueil
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Année
Machine learning in production–potentials, challenges and exemplary applications
A Mayr, D Kißkalt, M Meiners, B Lutz, F Schäfer, R Seidel, A Selmaier, ...
Procedia CIRP 86, 49-54, 2019
942019
A machine learning based approach to detect false calls in SMT manufacturing
N Thielen, D Werner, K Schmidt, R Seidel, A Reinhardt, J Franke
2020 43rd international spring seminar on electronics technology (ISSE), 1-6, 2020
302020
Enhanced X-ray inspection of solder joints in SMT electronics production using convolutional neural networks
K Schmidt, N Thielen, C Voigt, R Seidel, J Franke, Y Milde, J Bönig, ...
2020 IEEE 26th International Symposium for Design and Technology in …, 2020
272020
Development and validation of a digital twin framework for SMT manufacturing
R Seidel, B Rachinger, N Thielen, K Schmidt, S Meier, J Franke
Computers in industry 145, 103831, 2023
162023
Towards a smart electronics production using machine learning techniques
R Seidel, A Mayr, F Schäfer, D Kißkalt, J Franke
2019 42nd international spring seminar on electronics technology (isse), 1-6, 2019
132019
Data mining system architecture for industrial internet of things in electronics production
R Seidel, H Amada, J Fuchs, N Thielen, K Schmidt, C Voigt, J Franke
2020 IEEE 26th International Symposium for Design and Technology in …, 2020
92020
An analytical approach to thermal design for manufacturing in mini wave soldering
R Seidel, M Sippel, J Franke
2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 1427-1434, 2021
82021
Development and test of a data framework for prediction of soldering quality in selective wave soldering applying K-nearest neighbors
R Seidel, N Thielen, K Schmidt, C Voigt, J Franke
2020 IEEE 26th International Symposium for Design and Technology in …, 2020
82020
Experimental identification and prioritization of design and process parameters on hole fill in mini wave soldering
R Seidel, T Ahrens, J Friedrich, A Reinhardt, J Franke
Microelectronics Reliability 131, 114497, 2022
62022
Trustworthiness of machine learning models in manufacturing applications using the example of electronics manufacturing processes
R Seidel, K Schmidt, N Thielen, J Franke
Procedia CIRP 107, 487-492, 2022
42022
Clustering of Image Data to Enhance Machine Learning Based Quality Control in THT Manufacturing
N Thielen, Z Jiang, K Schmidt, R Seidel, C Voigt, A Reinhardt, J Franke
2021 IEEE 27th International Symposium for Design and Technology in …, 2021
42021
Experimental investigation on thermocouple attachment methods for reliable temperature measurement
R Seidel, J Volland, N Thielen, C Voigt, J Franke
2020 43rd International Spring Seminar on Electronics Technology (ISSE), 1-6, 2020
42020
Impact of THT-hole dimensioning on manufacturability in selective wave soldering
R Seidel, C Kästle, M Ockel, J Franke
Microelectronics Reliability 137, 114773, 2022
32022
Prediction of the Solder Rise in Selective Wave Soldering Comparing Decision Tree and Logistic Regression
R Seidel, F Leibold, N Thielen, J Franke
2020 43rd International Spring Seminar on Electronics Technology (ISSE), 1-7, 2020
32020
Improved Thermal Impedance Measurement for Power Modules based on Thermal Imaging of the Baseplate
M Sippel, R Schmidt, F Rau, D Bretscher, R Seidel, J Franke
CIPS 2022; 12th International Conference on Integrated Power Electronics …, 2022
12022
Comparative Study on Different Methods to Generate Synthetic Data for the Classification of THT Solder Joints
N Thielen, B Rachinger, F Schröder, A Preitschaft, S Meier, R Seidel, ...
2024 1st International Conference on Production Technologies and Systems for …, 2024
2024
Modellbasierte Optimierung des Selektivwellenlötprozesses
R Seidel
Dissertation, Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg …, 2023
2023
2-D Fluid Simulation Approach for Miniwave Soldering
R Seidel, M Sippel, J Franke
2022 IEEE 72nd Electronic Components and Technology Conference (ECTC), 1785-1790, 2022
2022
THT-Problemstellen frühzeitig erkennen–Modellbasiertes Design for Manufacturing beim Selektivwellenlöten
R Seidel, J Franke
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