Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges

J Leng, X Zhu, Z Huang, X Li, P Zheng, X Zhou… - Journal of Manufacturing …, 2024 - Elsevier
With the continuous development of human-centric, resilient, and sustainable manufacturing
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 …

A review of non-destructive testing on wind turbines blades

FPG Márquez, AMP Chacón - Renewable Energy, 2020 - Elsevier
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 …

Condition monitoring of wind turbine generators using SCADA data analysis

X **, Z Xu, W Qiao - IEEE Transactions on Sustainable Energy, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification

A Wang, Y Pei, Z Qian, H Zareipour, B **g, J An - Applied Energy, 2022 - Elsevier
Effective condition monitoring is critical to improve the reliability and reduce unplanned
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 …

A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines

Y Wu, X Ma - Renewable Energy, 2022 - Elsevier
With the increasing installation of the wind turbines both onshore and offshore, condition
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

M Rezamand, M Kordestani, R Carriveau… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
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 …