Machine learning on fault diagnosis in wind turbines
With the improvement in wind turbine (WT) operation and maintenance (O&M) technologies
and the rise of O&M cost, fault diagnostics in WTs based on a supervisory control and data …
and the rise of O&M cost, fault diagnostics in WTs based on a supervisory control and data …
[HTML][HTML] Wind turbine fault detection based on the transformer model using SCADA data
The growth of installed wind power worldwide and its significant contribution to the energy
market is mainly due to the evolution of wind turbines (WTs) and their ability to withstand a …
market is mainly due to the evolution of wind turbines (WTs) and their ability to withstand a …
Analysis of deep learning methods for cybersecurity in industry 4.0
Nowadays the use of Artificial Intelligence (AI) around the globe is constantly growing.
These processes were accelerated even more due to the COVID-19 pandemic. In the …
These processes were accelerated even more due to the COVID-19 pandemic. In the …
[PDF][PDF] Analysis of Practical Machine Learning Scenarios for Cybersecurity in Industry 4.0
In recent years, the widespread adoption of Artificial Intelligence (AI) has been propelled by
global technological advancements. Some organizations view AI as a potential threat to their …
global technological advancements. Some organizations view AI as a potential threat to their …
Federated Machine Learning For Augmenting The Safekee** of Critical Energy Infrastructures
In the recent years, there have been an increase in attacks targeting Supervisory Control
and Data Acquisition (SCADA) infrastructures as there are many sensitive data released …
and Data Acquisition (SCADA) infrastructures as there are many sensitive data released …