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. For this, we introduce Mel Frequency Cepstral Coefficients (MFCCs) as features, which form the input to a simple Multi-Layer Perceptron c...

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Hauptverfasser:	Kreuzer, Matthias, Schmidt, David, Wokusch, Simon, Kellermann, Walter
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Sound
Online-Zugang:	Volltext bestellen
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