D. F. Hesser

Excitation strategies for vibration based damage detection using piezoelectric transducers and machine learning

Bernd Markert, Daniel Frank Hesser, B. Markert, 2016 .

A machine‐learning approach to load‐monitoring based on guided waves

B. Markert, D. F. Hesser, 2017 .

Effect of process parameters on the interface temperature in ultrasonic aluminum wire bonding

B. Markert, D. F. Hesser, S. Mostafavi, 2018, Journal of Manufacturing Processes.

Monitoring and tracking of a suspension railway based on data-driven methods applied to inertial measurements

Bernd Markert, Daniel Frank Hesser, Kubilay Altun, 2022 .

Identification of acoustic emission sources for structural health monitoring applications based on convolutional neural networks and deep transfer learning

Bernd Markert, Georg Karl Kocur, Daniel Frank Hesser, 2021, Neurocomputing.

Active source localization in wave guides based on machine learning.

Bernd Markert, Georg Karl Kocur, Daniel Frank Hesser, 2020, Ultrasonics.

Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks

Bernd Markert, Daniel Frank Hesser, B. Markert, 2019, Manufacturing Letters.