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Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
Review on monitoring, operation and maintenance of smart offshore wind farms
L Kou, Y Li, F Zhang, X Gong, Y Hu, Q Yuan, W Ke - Sensors, 2022 - mdpi.com
In recent years, with the development of wind energy, the number and scale of wind farms
have been develo** rapidly. Since offshore wind farms have the advantages of stable …
have been develo** rapidly. Since offshore wind farms have the advantages of stable …
A review of non-destructive testing on wind turbines blades
Wind energy, with an exponential growth in the last years, is nowadays one of the most
important renewable energy sources. Modern wind turbines are bigger and complex to …
important renewable energy sources. Modern wind turbines are bigger and complex to …
Condition monitoring of wind turbine generators using SCADA data analysis
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 …
(SCADA) system for remote supervision and control. The SCADA system accumulates a …
Data-driven predictive maintenance of wind turbine based on SCADA data
W Udo, Y Muhammad - IEEE Access, 2021 - ieeexplore.ieee.org
Rystad Energy's analysis shows that installed offshore wind capacity will rise to 27.5 GW in
2026 from 10.5 GW in 2020. This report indicates that increasingly complex maintenance …
2026 from 10.5 GW in 2020. This report indicates that increasingly complex maintenance …
Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data
M Zheng, J Man, D Wang, Y Chen, Q Li, Y Liu - Reliability Engineering & …, 2023 - Elsevier
The maintenance cost and unplanned downtime caused by faults are an important part of
the operation cost of wind turbines. Supervisory control and data acquisition (SCADA) data …
the operation cost of wind turbines. Supervisory control and data acquisition (SCADA) data …
A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification
Effective condition monitoring is critical to improve the reliability and reduce unplanned
downtime of wind turbines (WTs). Supervisory control and data acquisition (SCADA) data …
downtime of wind turbines (WTs). Supervisory control and data acquisition (SCADA) data …
Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
S Ma, Q Han, F Chu - Expert Systems with Applications, 2023 - Elsevier
Early fault feature extraction and fault diagnosis are of great importance for predictive
maintenance of rotating machinery. To accurately extract early fault features from original …
maintenance of rotating machinery. To accurately extract early fault features from original …
A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines
With the increasing installation of the wind turbines both onshore and offshore, condition
monitoring technologies and systems have become increasingly important in order to …
monitoring technologies and systems have become increasingly important in order to …
A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF
This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …