A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Using SCADA data for wind turbine condition monitoring–a review
J Tautz‐Weinert, SJ Watson - IET Renewable Power …, 2017 - Wiley Online Library
The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …
accelerated the need for optimised maintenance strategies in order to reduce operating …
Approaches to wind power curve modeling: A review and discussion
Wind power curves play important roles in wind power forecasting, wind turbine condition
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …
monitoring, estimation of wind energy potential and wind turbine selection. In practice, it is a …
Internet of things applications as energy internet in smart grids and smart environments
Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve
smart grids by integrating several energy forms into an extremely flexible and effective grid …
smart grids by integrating several energy forms into an extremely flexible and effective grid …
An adaptive network-based reinforcement learning method for MPPT control of PMSG wind energy conversion systems
This paper proposes an artificial neural network (ANN)-based reinforcement learning (RL)
maximum power point tracking (MPPT) algorithm for permanent-magnet synchronous …
maximum power point tracking (MPPT) algorithm for permanent-magnet synchronous …
Cooperative wind farm control with deep reinforcement learning and knowledge-assisted learning
Cooperative wind farm control is a complex problem due to wake effect, and it is hard to find
the proper model. Reinforcement learning can find the optimal policy in a dynamic …
the proper model. Reinforcement learning can find the optimal policy in a dynamic …
Applications and modeling techniques of wind turbine power curve for wind farms—A review
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
speed” at the hub height and the corresponding “active power” to be generated. It is the most …
A condition monitoring and fault isolation system for wind turbine based on SCADA data
Condition monitoring of the wind turbine based on supervisory control and data acquisition
(SCADA) data has attracted much attention in recent years. Nevertheless, there are some …
(SCADA) data has attracted much attention in recent years. Nevertheless, there are some …
Power systems big data analytics: An assessment of paradigm shift barriers and prospects
Electric power systems are taking drastic advances in deployment of information and
communication technologies; numerous new measurement devices are installed in forms of …
communication technologies; numerous new measurement devices are installed in forms of …
Wind turbine blade breakage monitoring with deep autoencoders
Monitoring wind turbine blade breakages based on supervisory control and data acquisition
(SCADA) data is investigated in this research. A preliminary data analysis is performed to …
(SCADA) data is investigated in this research. A preliminary data analysis is performed to …