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A Survey of Artificial Neural Network in Wind Energy Systems
(Elsevier, 2018-10)
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 on advance analytics. This paper presents an exhaustive ...
A New Ranking Method Approach for Decision Making in Maintenance Management
(Springer, 2013-09-19)
Decision making process in maintenance management produces a final choice. Fault Tree Analysis (FTA) is proposed as a graphical representation of logical relationships between the elements that comprise the decision making ...
Optimal Management of Marine Inspection with Autonomous Underwater Vehicles
(Springer, 2019-06)
t New technologies and system communications are being applied in the
industry, improving the efficiency and effectiveness. This paper is focused on novel
technologies, software and materials that allow to explore deep ...
SCADA and Artificial neural networks for maintenance management
(2017-06-29)
Nowadays, the reliability of the wind turbines is essential to ensure the efficiency and the benefits of the wind energy. The SCADA system installed in a wind turbine generates lot of data that need to be processed. The ...
Identification of critical components of wind turbines using FTA over time
(Elsevier, 2015-10-14)
Wind energy is currently the most widely implemented renewable energy source in global scale. Complex industrial multi-MW wind turbines are continuously being installed both onshore and offshore. Projects involving ...
Fuzzy Logic Applied to SCADA Systems
(Springer, 2017-06-29)
This article focuses on the monitoring of a wind farm in real time based on big data collected by Supervisory Control and Data Acquisition (SCADA) system. The decision-
making of the type of maintenance to be applied can ...
Decision Making for Wind Turbine Fabrication by Logical Decision Tree and Binary Decision Diagrams: A Real Case Study of Wind Turbine Manufacturing
(MDPI, 2019-05)
The wind energy industry is expanding in order to be able to meet the current and
future energy demand, and is supported by governments in that renewable energy investment has been made. Optimal decision making (DM) in ...
Photovoltaic Plant Condition Monitoring using Thermal Images Analysis by Convolutional Neural Network-Based Structure
(Elsevier, 2020-01)
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. This paper proposes a novel method for ...
Reliability Dynamic Analysis by Fault Trees and Binary Decision Diagrams
(2020-06)
New wind turbines are becoming more complex and reliability analysis of them rising in complexity. The systems are composed of many components. Fault tree is used as an useful tool to analyze these interrelations and provide ...
Survey of maintenance management for photovoltaic power systems
(Elsevier, 2020-09-12)
The sustainability of the global energy production systems involves new renewable energies and the
improvement of the existing ones. Photovoltaic industry is growing thanks to the development of new
technologies that ...