P. Abels

发表

Energy Input per Unit Length – High Accuracy Kinematic Metrology in Laser Material Processing

M. Becker, C. Franz, P. Abels, 2011 .

Deep learning and conventional machine learning for image- based in-situ fault detection during laser welding: A compara- tive study

A. Gillner, C. Knaak, P. Abels, 2021 .

Improving Build Quality in Laser Powder Bed Fusion Using High Dynamic Range Imaging and Model-Based Reinforcement Learning

Arnold Gillner, Peter Abels, Christian Knaak, 2021, IEEE Access.

Deep learning-based semantic segmentation for in-process monitoring in laser welding applications

Peter Abels, Christian Knaak, Moritz Kröger, 2019, Optical Engineering + Applications.

A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards

Arnold Gillner, Peter Abels, Christian Knaak, 2021, Sensors.

In-situ quality monitoring during laser brazing

Volker Märgner, Stefan Kaierle, Daniel Fecker, 2010 .

On-line quality control system for laser brazing

Fritz Klocke, Stefan Kaierle, Michael Ungers, 2009 .

Self-optimizing Production Technologies

Wolfgang Schulz, Fritz Klocke, Robert Schmitt, 2017 .

Machine learning as a comparative tool to determine the relevance of signal features in laser welding

Ulrich Thombansen, Christian Knaak, Peter Abels, 2018 .

Seam tracking with texture based image processing for laser materials processing

S. Krämer, W. Fiedler, A. Drenker, 2014, Photonics West - Lasers and Applications in Science and Engineering.

Polygon scanning system for high-power, high-speed microstructuring

A. Olowinsky, A. Gillner, Milena Zuric, 2018 .

Absorber-free laser beam welding of transparent thermoplastics

A. Olowinsky, A. Roesner, P. Abels, 2008 .

Deep Learning and Conventional Machine Learning for Image-Based in-Situ Fault Detection During Laser Welding: A Comparative Study

C Knaak, M Kröger, F Schulze, 2021 .