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 …

Condition Monitoring and Fault Diagnosis of Wind Turbine: A Systematic Literature Review

M Hussain, NH Mirjat, F Shaikh, LL Dhirani… - IEEE …, 2024 - ieeexplore.ieee.org
Wind energy penetration has considerably increased in the recent past. However, wind
turbines are often prone to various faults which may lead to failures causing huge production …

Fault diagnosis of blast furnace iron-making process with a novel deep stationary kernel learning support vector machine approach

S Lou, C Yang, P Wu, L Kong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the blast furnace iron-making process (BFIP), there still has been a significant push to
maintain a stable process and ensure maximum efficiency. Although some control systems …

Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps

L Meng, M Zhao, Z Cui, X Zhang, S Zhong - Computers in Industry, 2022 - Elsevier
A problem in data-driven fault diagnosis of civil aviation hydraulic pumps is that the faulty
samples are much fewer than the healthy samples. To solve this problem, this paper …

Improved GWO-MCSVM algorithm based on nonlinear convergence factor and tent chaotic map** and its application in transformer condition assessment

Q Zhang, LIU Hongshun, GUO Jian, W Yifan… - Electric Power Systems …, 2023 - Elsevier
The continuous and reliable operation of the transformer is the basis to ensure the normal
operation of the power system. Relevant departments collect multi-dimensional and multi …

An integrated network architecture for data repair and degradation trend prediction

Q Yang, B Tang, S Yang, Y Shen - Mechanical Systems and Signal …, 2023 - Elsevier
This paper proposed a network framework, namely DR-DTPN, which integrates data repair
and degradation trend prediction to address the serious deviation of equipment degradation …

Correlation analysis based relevant variable selection for wind turbine condition monitoring and fault diagnosis

H Han, D Yang - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
Wind turbines' fault diagnosis under complex environments and disturbances is significant to
maintaining high reliability and secure operation over a prolonged period of time. Due to the …

Wind turbine fault detection with multimodule feature extraction network and adaptive strategy

G Liu, J Si, W Meng, Q Yang, C Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unexpected failures in wind turbines (WTs) lead to tremendous economic losses and safety
hazards to wind farms. Intelligent condition monitoring and fault detection can prevent …

A normal behavior model based on power curve and stacked regressions for condition monitoring of wind turbines

F Bilendo, H Badihi, N Lu, P Cambron… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Wind turbines (WTs) are complex systems composed of multiple components. In order to
assess the overall condition of a given WT, one may need to employ multiple models; such a …

An adaptive condition monitoring method of wind turbines based on multivariate state estimation technique and continual learning

Z Wang, X **, Z Xu - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
With the development of wind energy, the condition monitoring (CM) methods of wind
turbines (WTs) based on supervisory control and data acquisition (SCADA) data have …