Experimental and numerical modal analysis of a servo-screw press with coupled drives as a basis for increasing flexibility and dynamics. - Peter Müller; Burkhard Kranz; Sebastian Kriechenbauer; Holger Schlegel (Prod. Eng., 2015)

Data Management System for Drive-based Smart Data Services - A Pratical Approach for Machine-Internal Monitoring Applications. - Chris Schöberlein; André Sewohl; Holger Schlegel; Matthias Putz (ICINCO (2), 2018)

Root Cause Analysis of Deep Drawing Processes with Superimposed Low-Frequency Vibrations on Servo-Screw Presses - A Practical Research on Predictability in Simulation. - André Sewohl; Sebastian Kriechenbauer; Peter Müller; Holger Schlegel; Dirk Landgrebe (ICINCO (2), 2018)

Identification in the Frequency Domain of Mechanically Coupled Axes on Servo-Screw Presses. - Henry Kirchner; Johannes Quellmalz; Holger Schlegel; Peter Müller (ICCMA, 2019)

Detection of the Force Distribution Close to the Effective Site in Forming Machines for a Force Control. - Armin Schleinitz; André Sewohl; Holger Schlegel; Matthias Putz (ICCMA, 2019)

A Holistic Approach for the Development of a Digital Twin Focused on Commissioning and Control of Electromechanical Feed Axes. - Manuel Norberger; René Apitzsch; André Sewohl; Holger Schlegel; Matthias Putz (ICINCO, 2020)

Simulative Investigation of Transfer Function-based Disturbance Observer for Disturbance Estimation on Electromechanical Axes. - Chris Schöberlein; Armin Schleinitz; Holger Schlegel; Matthias Putz (ICINCO, 2020)

Performance Analysis of the Force Control for an Electromechanical Feed Axis with Industrial Motion Control. - André Sewohl; Manuel Norberger; Chris Schöberlein; Holger Schlegel; Matthias Putz (ICINCO, 2020)

Concept for a Virtual Reality Robot Ground Simulator. - Mario Lorenz 001; Sebastian Knopp; Philipp Klimant; Johannes Quellmalz; Holger Schlegel (ISMAR Adjunct, 2020)

Sports activity recognition with UWB and inertial sensors using deep learning approach. - Iwona Pajak; Pascal Krutz; Justyna Patalas-Maliszewska; Matthias Rehm; Grzegorz Pajak; Holger Schlegel; Martin Dix (FUZZ-IEEE, 2022)

Sensorless Condition Monitoring of Feed Axis Components in Production Systems by Applying Prony Analysis. - Chris Schöberlein; Johannes Quellmalz; Holger Schlegel; Martin Dix (ICINCO, 2022)

Design and Validation of an Adaptive Force Control Algorithm with Parameter Estimation Unit for Electromechanical Feed Axis. - André Sewohl; Manuel Norberger; Stefan Sigg; Holger Schlegel; Martin Dix (ICINCO, 2022)

Modelling of a 6DoF Robot with Integration of a Controller Structure for Investigating Trajectories and Kinematic Parameters. - Armin Schleinitz; Chris Schöberlein; André Sewohl; Holger Schlegel; Martin Dix (ICINCO (1), 2023)

Experimental Investigation and Comparison of Approaches for Correcting Acceleration Phases in Motor Torque Signal of Electromechanical Axes. - Chris Schöberlein; André Sewohl; Holger Schlegel; Martin Dix (ICINCO (1), 2023)

Inertial Sensor-Based Sport Activity Advisory System Using Machine Learning Algorithms. - Justyna Patalas-Maliszewska; Iwona Pajak; Pascal Krutz; Grzegorz Pajak; Matthias Rehm; Holger Schlegel; Martin Dix (Sensors, 2023)

Enhancing inertial sensor-based sports activity recognition through reduction of the signals and deep learning. - Grzegorz Pajak; Justyna Patalas-Maliszewska; Pascal Krutz; Matthias Rehm; Iwona Pajak; Holger Schlegel; Martin Dix (Expert Syst. Appl., 2025)