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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Bibliographic Details
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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