38   Artículos

 
en línea
Federico Ricci, Luca Petrucci, Francesco Mariani and Carlo Nazareno Grimaldi    
To carry out increasingly sophisticated checks, which comply with international regulations and stringent constraints, on-board computational systems are called upon to manipulate a growing number of variables, provided by an ever-increasing number of re... ver más
Revista: Information    Formato: Electrónico

 
en línea
Luping Zhao, Yawen Shao and Wei Jia    
Mach number, as an important index to judge the system performance in wind tunnel tests, its stability determines the quality of the flow field of this wind tunnel and needs to be controlled precisely. Due to the complex process in the wind tunnel test, ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Federico Ricci, Luca Petrucci and Francesco Mariani    
Currently, machine learning (ML) technologies are widely employed in the automotive field for determining physical quantities thanks to their ability to ensure lower computational costs and faster operations than traditional methods. Within this context,... ver más
Revista: Information    Formato: Electrónico

 
en línea
Shuai Ma, Yafeng Wu, Hua Zheng and Linfeng Gou    
Aiming at engine health management, a novel hybrid prediction method is proposed for exhaust gas temperature (EGT) prediction of gas turbine engines. This hybrid model combines a nonlinear autoregressive with exogenous input (NARX) model and a moving ave... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Ehsan Nikkhah, Antonio Carlos Fernandes and Jean-David Caprace    
Online monitoring of mooring system response for the FPSO platform in any operational condition is so far challenging for machine learning (ML). This paper presents a new dynamic NARX ANN model for time series of mooring tension and a static MLP model fo... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Kemal Güven and Andaç Töre Samiloglu    
Neural networks are one of the methods used in system identification problems. In this study, a NARX network with a serial-parallel structure was used to identify an unknown aerial delivery system with a ram-air parachute. The dataset was created using t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Enza Incoronata Trombetta, Davide Carminati and Elisa Capello    
In this paper, two identification methods are proposed for a ground robotic system. A Gaussian process regression (GPR) model is presented and adopted for a system identification framework. Its performance and features were compared with a wavelet-based ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Montserrat Sacie, Matilde Santos, Rafael López and Ravi Pandit    
One of the most promising solutions that stands out to mitigate climate change is floating offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy, the harsh environmental conditions they are subjected to, mainly strong... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Anouk Bomers    
Early flood forecasting systems can mitigate flood damage during extreme events. Typically, the effects of flood events in terms of inundation depths and extents are computed using detailed hydraulic models. However, a major drawback of these models is t... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Maria Grazia De Giorgi, Luciano Strafella and Antonio Ficarella    
One of the most important parts of a turboshaft engine, which has a direct impact on the performance of the engine and, as a result, on the performance of the propulsion system, is the engine fuel control system. The traditional engine control system is ... ver más
Revista: Aerospace    Formato: Electrónico

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