A survey of artificial neural network in wind energy systems
Wind energy has become one of the most important forms of renewable energy. Wind
energy conversion systems are more sophisticated and new approaches are required based …
energy conversion systems are more sophisticated and new approaches are required based …
Wind turbine reliability: A comprehensive review towards effective condition monitoring development
The current work presents a review of wind turbine reliability studies. Thirteen reliability
studies were identified in the scientific literature, highlighting the lack of public reliability …
studies were identified in the scientific literature, highlighting the lack of public reliability …
Reliability analysis of a floating offshore wind turbine using Bayesian Networks
A Bayesian Network is adopted to model and analyze the reliability of a floating offshore
wind turbine. Reliability characteristics such as failure probability, failure rate, and mean …
wind turbine. Reliability characteristics such as failure probability, failure rate, and mean …
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Y Li, W Jiang, G Zhang, L Shu - Renewable Energy, 2021 - Elsevier
Condition monitoring and fault diagnosis for wind turbines can effectively reduce the impact
of failures. However, many wind turbines cannot establish fault diagnosis models due to …
of failures. However, many wind turbines cannot establish fault diagnosis models due to …
Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure
The size and the complexity of photovoltaic solar power plants are increasing, and it
requires an advanced and robust condition monitoring systems for ensuring their reliability …
requires an advanced and robust condition monitoring systems for ensuring their reliability …
Wind turbine fault detection based on deep residual networks
Condition monitoring and fault detection for wind turbines (WTs) can effectively lower the
effect of failures. A large amount of data would be generated during the operation of WTs …
effect of failures. A large amount of data would be generated during the operation of WTs …
Fault Tree Analysis of floating offshore wind turbines
With the development of offshore wind power, the reliability analysis of offshore wind
turbines is increasingly significant due to the system complexity and negative impacts in …
turbines is increasingly significant due to the system complexity and negative impacts in …
Prognostic techniques applied to maintenance of wind turbines: a concise and specific review
Wind turbine installation is growing consistently and fast. Wind turbines are getting bigger in
size and power, what incurs that a simple unit breakdown causes large energy losses. They …
size and power, what incurs that a simple unit breakdown causes large energy losses. They …
Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis
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 …
Reliability prediction of an offshore wind turbine gearbox
This paper estimates the failure rate of an offshore wind turbine gearbox based on the data
available for similar, known onshore wind turbine systems. The gearbox is one critical …
available for similar, known onshore wind turbine systems. The gearbox is one critical …