Prediction of wind turbine blades icing based on feature Selection and 1D-CNN-SBiGRU
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11700-7.pdf
Reference37 articles.
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4. Chen X, Lei D, Xu G (2020) Prediction of Icing Fault of Wind Turbine Blades Based on Deep Learning. 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE
5. Eren L, Ince T, Kiranyaz S (2019) A generic intelligent bearing fault diagnosis system using compact adaptive 1D CNN classifier. J Signal Process Syst 91(2):179–189
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