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Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
Bayesian network modelling for the wind energy industry: An overview
T Adedipe, M Shafiee, E Zio - Reliability Engineering & System Safety, 2020 - Elsevier
Wind energy farms are moving into deeper and more remote waters to benefit from
availability of more space for the installation of wind turbines as well as higher wind speed …
availability of more space for the installation of wind turbines as well as higher wind speed …
Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network
H Chen, H Liu, X Chu, Q Liu, D Xue - Renewable Energy, 2021 - Elsevier
Continuous monitoring of wind turbine health conditions using anomaly detection methods
can improve the reliability and reduce maintenance costs during operation of wind turbine …
can improve the reliability and reduce maintenance costs during operation of wind turbine …
An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples
J Wang, Y Liang, Y Zheng, RX Gao, F Zhang - Renewable energy, 2020 - Elsevier
Predictive maintenance has raised much research interest to improve the system reliability
of a wind turbine. This paper presents a new model based approach of integrated fault …
of a wind turbine. This paper presents a new model based approach of integrated fault …
Fault diagnosis methods based on machine learning and its applications for wind turbines: A review
With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis
AA Jiménez, FPG Márquez, VB Moraleda… - Renewable energy, 2019 - Elsevier
The mass of ice on wind turbines blades is one of the main problems that energy companies
have in cold climates. This paper presents a novel approach to detect and classify ice …
have in cold climates. This paper presents a novel approach to detect and classify ice …
[HTML][HTML] Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
X Xu, X Huang, H Bian, J Wu, C Liang, F Cong - Energy and AI, 2024 - Elsevier
With the increasing of the installed capacity of wind power, the condition monitoring and
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation
XJ Zeng, M Yang, YF Bo - International Journal of Electrical Power & …, 2020 - Elsevier
Wind turbine (WT) condition monitoring and anomaly detection based on Supervisory
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …
Real-time power prediction approach for turbine using deep learning techniques
L Sun, T Liu, Y **e, D Zhang, X **a - Energy, 2021 - Elsevier
Accurate power forecasting is of great importance to the turbine control and predictive
maintenance. However, traditional physics models and statistical models can no longer …
maintenance. However, traditional physics models and statistical models can no longer …
Health monitoring and safety evaluation of the offshore wind turbine structure: a review and discussion of future development
J Lian, O Cai, X Dong, Q Jiang, Y Zhao - Sustainability, 2019 - mdpi.com
With the depletion of fossil energy, offshore wind power has become an irreplaceable
energy source for most countries in the world. In recent years, offshore wind power …
energy source for most countries in the world. In recent years, offshore wind power …