Deep Learning Approach for Sensor Data Prediction and Sensor Fault Diagnosis in Wind Turbine Blade

Deep Learning Approach for Sensor Data Prediction and Sensor Fault Diagnosis in Wind Turbine Blade

Monitoring the state of wind turbine blades in real-time using sensors is crucial for early fault diagnosis. Several studies have been conducted to predict the failure of wind turbine blades based on data measured by sensors. These methods rely on accuracy of the sensor-monitoring data; even minor a...

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Bibliographic Details
Main Authors: Wai-Xi Liu, Rui-Peng Yin, Ping-Yu Zhu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
fault diagnosis
prediction
spatiotemporal
wind turbine
Online Access:https://ieeexplore.ieee.org/document/9938966/

Internet

https://ieeexplore.ieee.org/document/9938966/

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