Joint parameter estimation and abrupt change quantification with uncertainty quantification in high degree of freedom dynamical systems via an optimized adaptive unscented Kalman filter [0.03%]
基于优化自适应无偏卡尔曼滤波器的大自由度动力学系统参数估计及突变量化及其不确定性量化方法研究
Esmaeil Ghorbani,Quentin Dollon,Frederick P Gosselin
Esmaeil Ghorbani
The Unscented Kalman Filter (UKF) represents a robust method for estimating latent states and parameters within specified nonlinear equations of dynamic systems under noisy sensor data. Nonetheless, adjusting the filter's hyperparameters (H...
Modeling and validation of anisotropic thin-film deposition on cylindrical substrates for predictable resistance control in MEMS fabrication [0.03%]
各向异性薄膜在圆柱基底上沉积的建模及验证以实现MEMS制造中预期阻值控制
Aditya Tummala,Francesca Marturano,Giorgio Bonmassar
Aditya Tummala
Precise control of electrical properties in conductive micro-structures is essential for the performance and reliability of micro-electro-mechanical systems (MEMS). However, the nature of anisotropic physical vapor deposition (PVD), such as...
Hydrodynamic lubrication effects in textured PEEK surfaces for friction reduction [0.03%]
纹理PEEK表面的流体动力润滑效应及其减摩性能研究
Christopher W Harris,Omid Doustdar,Arvin Taghizadeh Tabrizi et al.
Christopher W Harris et al.
The tribology of dimple-shaped textures is investigated within a reciprocating polymeric sliding couple of Invibio poly-ether-ether-ketone (grade 450G). A novel theoretical model was developed for this aim, describing hydrodynamic pressure ...
Data-driven approaches for predicting mechanical properties and determining processing parameters of selective laser sintered nylon-12 components [0.03%]
基于数据的方法预测选择性激光烧结尼龙-12部件的力学性能和确定工艺参数
Ruixuan Tu,Candice Majewski,Inna Gitman
Ruixuan Tu
In order to allow engineers to make decisions regarding laser settings in selective laser sintering and predict the mechanical properties of materials, conventional material models could provide accurate solutions and recommendations, howev...
Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration [0.03%]
一种新的开源贝叶斯推断R平台的开发及在建筑能源模型参数校准中的性能评估研究
Danlin Hou,Dongxue Zhan,Liangzhu Wang et al.
Danlin Hou et al.
Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several c...