Wind turbine signal fault diagnosis using deep neural networks-inspired model
This work presents a deep neural network-inspired solution to intelligent signal fault diagnosis for wind turbine gearbox systems. A 1D convolution deep neural network architecture is proposed, constructed and validated. The proposed model was constructed of 1D signal for the input layer, ten differ...
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| Main Author: | Rababaah, Aaron (author) |
|---|---|
| Published: |
2023
|
| Online Access: | http://hdl.handle.net/11675/10926 https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcat http://www.scopus.com/inward/record.url?scp=85153848068&partnerID=8YFLogxK |
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