9 citations · 10 across the 3 of their papers we have counts for
3 papers
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
Matthias Kreuzer, David Schmidt, Simon Wokusch +1
In this paper, we address the challenging problem of detecting bearing faults in railway vehicles by analyzing acoustic signals recorded during regular operation. For this, we intr…
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge
Matthias Kreuzer, Walter Kellermann
In this article, we present our contribution to the ICPHM 2023 Data Challenge on Industrial Systems' Health Monitoring using Vibration Analysis. For the task of classifying sun gea…
Novel features for the detection of bearing faults in railway vehicles
Matthias Kreuzer, Alexander Schmidt, Walter Kellermann
{In this paper, we address the challenging problem of detecting bearing faults from vibration signals. For this, several time- and frequency-domain features have been proposed alre…