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SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
A review of predictive techniques used to support decision making for maintenance operations of wind turbines
The analysis of reliable studies helps to identify the credibility, scope, and limitations of
various techniques for condition monitoring of a wind turbine (WT) system's design and …
various techniques for condition monitoring of a wind turbine (WT) system's design and …
Wind turbine gearbox anomaly detection based on adaptive threshold and twin support vector machines
Data-driven condition monitoring reduces downtime of wind turbines and increases
reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that …
reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that …
Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning
Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …
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 …
Support vector regression approach to optimize the biodiesel composition for improved engine performance and lower exhaust emissions
The practical applicability of biodiesel is limited due to poor fuel economy and higher
emissions of oxides of nitrogen. Moreover, engine characteristics vary significantly with …
emissions of oxides of nitrogen. Moreover, engine characteristics vary significantly with …
Condition monitoring of wind turbine based on incremental learning and multivariate state estimation technique
Z Wang, C Liu, F Yan - Renewable energy, 2022 - Elsevier
With the development of wind turbine (WT) operation and maintenance technologies, the
condition monitoring (CM) method based on the data of supervisory control and data …
condition monitoring (CM) method based on the data of supervisory control and data …
On wavelet transform based convolutional neural network and twin support vector regression for wind power ramp event prediction
Power produced from renewable energy sources carbon negative and promises an
increased reliability for grid integration. Wind energy sector globally has an installed …
increased reliability for grid integration. Wind energy sector globally has an installed …
Investigating power loss in a wind turbine using real-time vibration signature
Wind energy is one of the fastest-growing sources of renewable energy; hence, a
comprehensive understanding of all the environmental and mechanical factors that …
comprehensive understanding of all the environmental and mechanical factors that …
Remaining useful life prediction of an aircraft turbofan engine using deep layer recurrent neural networks
U Thakkar, H Chaoui - Actuators, 2022 - mdpi.com
The turbofan engine is a pivotal component of the aircraft. Engine components are
susceptible to degradation over the life of their operation, which affects the reliability and …
susceptible to degradation over the life of their operation, which affects the reliability and …