Inicio  /  Applied Sciences  /  Vol: 13 Par: 20 (2023)  /  Artículo
ARTÍCULO
TITULO

Bayesian Optimal Experimental Design for Race Tracking in Resin Transfer Moulding

Nicholas Wright    
Piaras Kelly    
Oliver Maclaren    
Ruanui Nicholson and Suresh Advani    

Resumen

Predict race-tracking strength in an RTM process using minimal pressure sensor measurements and position the sensors optimally throughout the preform in order to do so.

 Artículos similares

       
 
Mohammed Ali Badjadi, Hanhua Zhu, Cunquan Zhang and Muhammad Safdar    
The escalating production of shale gas and oil, witnessed prominently in developed nations over the past decade, has sparked interest in prospective development, even in developing countries like Algeria. However, this growth is accompanied by significan... ver más
Revista: Water

 
Alexander Robitzsch    
This article reviews several implementation aspects in estimating regularized single-group and multiple-group structural equation models (SEM). It is demonstrated that approximate estimation approaches that rely on a differentiable approximation of non-d... ver más
Revista: Algorithms

 
Arturo J. Fernández    
Confidence regions for the Weibull parameters with minimum areas among all those based on the Conditionality Principle are constructed using an equivalent diffuse Bayesian approach. The process is valid for scenarios involving standard failure and progre... ver más
Revista: Algorithms

 
Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis and Spyros Sioutas    
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can b... ver más
Revista: Algorithms

 
Assefinew Wondosen, Yisak Debele, Seung-Ki Kim, Ha-Young Shi, Bedada Endale and Beom-Soo Kang    
In various applications, the extended Kalman filter (EKF) has been vital in estimating a vehicle?s translational and angular motion in 3-dimensional (3D) space. It is also essential for the fusion of data from multiple sensors. However, for the EKF to pe... ver más
Revista: Aerospace