Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information

Data-driven approaches have gained increasing interests in the fault detection of wind turbines (WTs) due to the difficulty in system modeling and the availability of sensor data. However, the nonlinearity of WTs, uncertainty of disturbances and measurement noise, and temporal dependence in time-ser...

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Vydané v:	IEEE/ASME transactions on mechatronics Ročník 23; číslo 1; s. 89 - 100
Hlavní autori:	Jiang, Guoqian, Xie, Ping, He, Haibo, Yan, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2018
Predmet:	Complex mechatronics Correlation denoising autoencoder (DAE) Fault detection Mechatronics Monitoring multivariate data driven Noise reduction Robustness Temperature measurement temporal information wind turbines (WTs)
ISSN:	1083-4435, 1941-014X
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