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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 ...
Competitiveness based on logistic management: a real case study
(Springer, 2014-12-06)
An efficient and effective logistic system is a strategic objective in any produc- tive business. This paper presents a real case study of a routing problem in a food industry firm. This problem is solved as a Vehicle ...
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, ...
Advanced remote condition monitoring of railway infrastructure and rolling stock
(2019-05)
The rail network is an integral part of the modern transport system. Railway transportation
accommodates the mobility of both passengers and goods cost-effectively and in an
environmentally friendly way at large scale. ...
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 ...
“Vibration-based tools for the optimisation of large-scale industrial wind turbines devices”
(2016-06)
Wind turbines (WT) maintenance management must be in continuous improvement to develop reliability, availability, maintainability and safety (RAMS) programs, and to
achieve time and cost reductions in large-scale industrial ...
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 ...