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Found 4 papers, 0 papers with code
Permutation Entropy as a Conceptual Model to Analyse Brain Activity in Sleep
This results in a time discrete signal, that can be further processed by applying the method of permutation entropy, which is a modification of the Shannon entropy as a measure of information processing.
Novel features for the detection of bearing faults in railway vehicles
However, these features are usually evaluated on data originating from relatively simple scenarios and a significant performance loss can be observed if more realistic scenarios are considered.
Airborne Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
In this paper, we address the challenging problem of detecting bearing faults in railway vehicles by analyzing acoustic signals recorded during regular operation.
1-D Residual Convolutional Neural Network coupled with Data Augmentation and Regularization for the ICPHM 2023 Data Challenge
In this article, we present our contribution to the ICPHM 2023 Data Challenge on Industrial Systems' Health Monitoring using Vibration Analysis.
