A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference58 articles.
1. Bearing fault diagnostics using EEMD processing and convolutional neural network methods;Amarouayache;Int. J. Adv. Manuf. Technol.,2020
2. Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation;Cabrera;Appl. Soft Comput.,2017
3. Fault diagnosis of wind turbine gearbox based on deep bi-directional long short-term memory under time-varying non-stationary operating conditions;Cao;IEEE Access,2019
4. Health status recognition of rotating machinery based on deep residual shrinkage network under time-varying conditions;Cao;IEEE Sens. J.,2022
5. Composition of deep and spiking neural networks for very low bit rate speech coding;Cernak;IEEE/ACM Trans. Audio Speech Lang. Process.,2016
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