QR-Code

Vibration Fault Detection in Wind Turbines Based on Normal Behaviour Models without Feature Engineering

Most wind turbines are remotely monitored 24/7 to allow for early detection of operation problems and developing damage. We present a new fault detection approach for vibration-monitored drivetrains that does not require any feature engineering. Our method relies on a simple model architecture to en...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Stefan Jonas, Dimitrios Anagnostos, Bernhard Brodbeck, Angela Meyer
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-02-01
Schriftenreihe:Energies
Schlagworte:
condition monitoring
wind turbines
fault detection
vibrations
autoencoders
convolutional autoencoders
Online-Zugang:https://www.mdpi.com/1996-1073/16/4/1760
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge