Deep learning for automated drivetrain fault detection
Author:
Affiliation:
1. Diagnostic Center; Siemens Gamesa Renewable Energy; Denmark
2. Cognitive Systems; Technical University of Denmark; Kongens Lyngby Denmark
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Reference27 articles.
1. Flexible non-linear predictive models for large-scale wind turbine diagnostics;Bach-Andersen;Wind Energy,2017
2. Analyzing bearing faults in wind turbines: a data-mining approach;Kusiak;Renewable Energy,2012
3. Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection;Schlechtingen;Mech Syst Sig Process,2011
4. Online wind turbine fault detection through automated SCADA data analysis;Zaher;Wind Energy,2009
5. Application of artificial neural network for damage detection in planetary gearbox of wind turbine;Straczkiewicz;Shock and Vibration,2016
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