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Nicholas Wright, Piaras Kelly, Oliver Maclaren, Ruanui Nicholson and Suresh Advani
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.
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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...
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Tong Liu, Hanlin Sheng, Zhaosheng Jin, Li Ding, Qian Chen, Rui Huang, Shengyi Liu, Jiacheng Li and Bingxiong Yin
This paper presents an effective method for measuring oil debris with high confidence to ensure the wear monitoring of aero-engines, which suffers from severe noise interference, weak signal characteristics, and false detection. First, an improved variat...
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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...
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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...
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