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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 ...
Dirt and Mud Detection and Diagnosis on a Wind Turbine Blade employing Guided Waves and Supervised Learning Classifiers
(Elsevier, 2018)
Dirt and mud on wind turbine blades (WTB) reduce productivity and can generate stops and downtimes. A condition monitoring system based on non-destructive tests by ultrasonic waves was used to analyse it. This paper employs ...
A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines
(2016-01-12)
The renewable energy industry is undergoing continuous improvement and development worldwide, wind energy being one of the most relevant renewable energies. This industry requires high levels of reliability, availability, ...
Linear and Nonlinear Features and Machine Learning for Wind Turbine Blade Ice Detection and Diagnosis
(Elsevier, 2018-08)
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 thickness based on pattern recognition through ...
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 ...
Digital Filters for Maintenance Management
(InTech, 2011-04-11)
Faults in mechanisms must be detected quickly and reliably in order to avoid important losses. Detection systems should be developed to minimize maintenance costs and are generally based on consistent models, but as simple ...
Wavelet Transforms for Macro Fiber Composites Transducers
(Springer, 2012-09-26)
This paper presents a novel pattern recognition approach for a Non Destructive Test (NDT) for pipes. NDT is based on Macro Fibre Composites Transducers (MFC). The signals are analysed employing Wavelet Transforms (WT). WT ...
Anderson Corollary Based on New Approximation Method for Continuous Interval Systems
(Institute of Electrical and Electronics Engineers, 2021-03-01)
In this research, a new technique is developed for reducing the order of high-order continuous
interval systems. The model denominator is derived using Anderson corollary and Routh table. Numerator
is derived by matching ...
A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
(MDPI, 2020-03)
Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation ...
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 ...