A novel fault diagnosis technique for wind turbine gearbox
Author:
Funder
National Nature Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference29 articles.
1. Data-driven diagnosis of nonlinearly mixed mechanical faults in wind turbine gearbox;Yang;IEEE Internet Things J.,2018
2. Fault feature extraction and classification based on WPT and SVD: Application to element bearings with artificially created faults under variable conditions;Kedadouche;Proc. Inst. Mech. Eng. C,2016
3. A novel feature extraction and optimisation method for fault diagnosis by combining WPT with FCM;Lu;Insight,2016
4. Identifying maximum imbalance in datasets for fault diagnosis of gearboxes;Santos;J. Intell. Manuf.,2018
5. An approach to fault diagnosis for gearbox based on image processing;Wang;Shock Vib.,2016
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