301. Simulation Analysis of Inhalable Dust Sampling Errors Using a Multicomponent Error Model

1999 ◽  
Author(s):  
D. Johnson ◽  
N. Esmen
Keyword(s):  
Simulation Analysis ◽  
Error Model ◽  
Sampling Errors ◽  
Inhalable Dust ◽  
Dust Sampling

Simulation Analysis of Inhalable Dust Sampling Errors Using a Multi-Component Error Model

2001 ◽  
Vol 35 (4) ◽  
pp. 824-828 ◽  
Author(s):  
Nurtan A. Esmen ◽  
David L. Johnson
Keyword(s):  
Simulation Analysis ◽  
Error Model ◽  
Sampling Errors ◽  
Inhalable Dust ◽  
Dust Sampling

Comparison of Total Dust/Inhalable Dust Sampling Methods for the Evaluation of Airborne Wood Dust

1998 ◽  
Vol 13 (3) ◽  
pp. 177-182 ◽  
Author(s):  
James R. Martin ◽  
David M. Zalk
Keyword(s):  
Sampling Methods ◽  
Wood Dust ◽  
Total Dust ◽  
Inhalable Dust ◽  
Dust Sampling

Reserach on the Feeding Model and Residual Error Model of a New Polishing Device

2012 ◽  
Vol 476-478 ◽  
pp. 2145-2150
Author(s):  
Ying Chun Li ◽  
Jie Qiong Lin ◽  
Ming Ming Lu ◽  
Feng Li
Keyword(s):  
Simulation Analysis ◽  
Step Length ◽  
Error Model ◽  
Residual Error ◽  
Machining Accuracy ◽  
Scallop Height ◽  
Relationship Of ◽  
Polishing Tool

Based on a new polishing device, the feeding model and residual error model are established according to the movement relationship of the polishing tool and the workpiece in the process. From the feeding model we can get the feed of the polishing tool in the process. And the residual error model can be used to obtain the scallop height after polishing and we can adjust the polish-step length rationally to improve machining accuracy. The two models can provide the theory basis for polishing aspheric. It confirms the exactitude and effectiveness of the two models through the simulation analysis results.

scholarly journals Application of Adaptive Robust CKF in SINS/GPS Initial Alignment with Large Azimuth Misalignment Angle

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Zhang Bing ◽  
Wang Xiaodong ◽  
Lu Hao ◽  
Hao Zhaojun ◽  
Gu Changchao
Keyword(s):  
Nonlinear Filtering ◽  
Simulation Analysis ◽  
Large Angle ◽  
Error Model ◽  
Statistical Characteristics ◽  
Misalignment Angle ◽  
Initial Alignment ◽  
Nonlinear Error ◽  
Estimation Precision ◽  
The Stability

When the strapdown inertial navigation system does not perform coarse alignment, the misalignment angle is generally a large angle, and a nonlinear error model and a nonlinear filtering method are required. For large azimuth misalignment, the initial alignment technology with a large azimuth misalignment angle is researched in this paper. The initial alignment technology with a large azimuth misalignment angle is researched in this paper. First, the SINS/GPS nonlinear error model is established. Secondly, in the view of observation gross errors and inaccurate noise statistical characteristics, an adaptive robust CKF algorithm is proposed. Finally, according to the simulation analysis and experiment, the adaptive robust CKF algorithm can augment the stability and improve the filter estimation precision and convergence rate.

Optimizing Overall equipment effectiveness through simulation analysis

2012 ◽  
Author(s):  
Anand S. Relkar ◽  
K. N. Nandurkar
Keyword(s):  
Simulation Analysis

Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality

2020 ◽  
Vol 90 (3) ◽  
pp. 30502
Author(s):  
Alessandro Fantoni ◽  
João Costa ◽  
Paulo Lourenço ◽  
Manuela Vieira
Keyword(s):  
Amorphous Silicon ◽  
High Throughput Screening ◽  
Simulation Analysis ◽  
Low Cost ◽  
Deposition Process ◽  
Large Area ◽  
Sidewall Roughness ◽  
Sensing Applications ◽  
Fabrication Defects ◽  
The Impact

Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting the input light into two arms, allowing the sensor to be calibrated by its reference arm. Two different 1 × 2 power splitter configurations are presented: a directional coupler and a multimode interference splitter. The waveguide sidewall roughness is considered as the major negative effect caused by deposition imperfections. The simulation results show that plasmonic effects can be excited in the interferometric waveguide structure, allowing a sensing device with enough sensitivity to support the functioning of a bio sensor for high throughput screening. In addition, the good tolerance to the waveguide wall roughness, points out the PECVD deposition technique as reliable method for the overall sensor system to be produced in a low-cost system. The large area deposition of photonics structures, allowed by the PECVD method, can be explored to design a multiplexed system for analysis of multiple biomarkers to further increase the tolerance to fabrication defects.

Digital Simulation Analysis of PA10

ICTE 2013 ◽  
2013 ◽  
Author(s):  
Zhongnan He ◽  
Wenbiao Wu
Keyword(s):  
Simulation Analysis ◽  
Digital Simulation
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