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, 10 differe...

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Bibliographic Details
Main Author: Rababaah, Aaron (author)
Published: 2021
Online Access:https://dspace.auk.edu.kw/handle/11675/9608
https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcat
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