Now showing items 1-6 of 6
A novel walking robot based system for non-destructive testing in wind turbines
The constant increasing of renewable energy demand is leading wind turbines to become very complex and sophisticated devices. These technological developments imply new methods and tools to ensure the reliability of the ...
SCADA and Artificial neural networks for maintenance management
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 ...
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. This paper proposes a novel method for ...
Optimal productivity in solar power plants based on machine learning and engineering management
The complexity of solar power plants is constantly increasing. This sophistication includes the increasing number of solar panels installed and the technologies that are employed in the energy conversion systems. The new ...
Advanced analytics for detection and diagnosis of false alarms and faults: A real case study
(Wiley Online Library, 2019-07-23)
Onshore and offshore wind farms require a high level of advanced maintenance. Supervisory control and data acquisition (SCADA) and condition monitoring systems are now being employed, generating large amounts of data. They ...
Evaluating the challenges associated with the long-term reliable operation of industrial wind turbine gearboxes
(IOP Publishing, 2018-12)
Wind turbine gearboxes are required to operate under adverse operational conditions over a long service lifetime. Unfortunately, gearbox designers are yet to achieve the reliability anticipated by wind turbine manufacturers ...