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Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.03.029
Abstract: Abstract Numerous intelligent fault diagnosis models have been developed on supervisory control and data acquisition (SCADA) systems of wind turbines, so as to process massive SCADA data effectively and accurately. However, there is a problem…
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Keywords:
wind turbines;
learning deep;
deep representation;
class ... See more keywords
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Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.07.049
Abstract: Abstract Blades icing would reduce the aerodynamic performance, cause power generation loss of WTGs, and even affect the safety of production and operation. By analyzing the relationship between blades icing and Supervisory Control And Data…
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Keywords:
scada data;
identification model;
icing identification;
blades icing ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3029435
Abstract: Effective early warning of wind turbine failures is of great significance to reduce the operation and maintenance costs of wind farms and improve power generation efficiency. At present, most wind farms are installed with supervisory…
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Keywords:
based scada;
wind turbine;
wind;
scada data ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3379529
Abstract: Condition monitoring of wind turbines is critical for increasing the reliability of the turbines and reducing their operation and maintenance costs. Supervisory control and data acquisition (SCADA) systems have been widely regarded as a promising…
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Keywords:
wind;
scada data;
approach;
spatio temporal ... See more keywords
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Published in 2021 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2020.2989220
Abstract: Utility-scale wind turbines are equipped with a supervisory control and data acquisition (SCADA) system for remote supervision and control. The SCADA system accumulates a large amount of data that contains the health conditions of the…
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Keywords:
wind turbines;
wind turbine;
wind;
scada data ... See more keywords
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Published in 2020 at "Energies"
DOI: 10.3390/en13184745
Abstract: Operations and Maintenance (O&M) can make up a significant proportion of lifetime costs associated with any wind farm, with up to 30% reported for some offshore developments. It is increasingly important for wind farm owners…
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Keywords:
scada data;
time;
behaviour modelling;
normal behaviour ... See more keywords
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Published in 2023 at "Energies"
DOI: 10.3390/en16093719
Abstract: Increasing interest in natural gas-fired gensets is motivated by District Heating (DH) network applications, especially in urban areas. Even if they represent customary solutions, when used in DH, duty regimes are driven by network thermal…
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Keywords:
district heating;
condition based;
scada data;
based maintenance ... See more keywords
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Published in 2024 at "Energies"
DOI: 10.3390/en17092175
Abstract: Icing on the blades of wind turbines during winter seasons causes a reduction in power and revenue losses. The prediction of icing before it occurs has the potential to enable mitigating actions to reduce ice…
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Keywords:
temporal convolutional;
scada data;
prediction icing;
wind turbines ... See more keywords
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Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13030410
Abstract: Data generated during the shutdown or start-up processes of wind turbines, particularly in complex wind conditions such as offshore environments, often accumulate in the low-wind-speed region, leading to reduced multivariate power estimation accuracy. Therefore, developing…
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Keywords:
scada data;
wind turbines;
power estimation;
power ... See more keywords