Field test results on fiber optic pressure transmitter system

Author(s):  
John W. Berthold III
2018 ◽  
Vol 36 (4) ◽  
pp. 1052-1062 ◽  
Author(s):  
Javier Tejedor ◽  
Carl H. Ahlen ◽  
Miguel Gonzalez-Herraez ◽  
Javier Macias-Guarasa ◽  
Hugo F. Martins ◽  
...  

2017 ◽  
Author(s):  
J. Tejedor ◽  
J. Macias-Guarasa ◽  
H. F. Martins ◽  
D. Piote ◽  
J. Pastor-Graells ◽  
...  

1990 ◽  
Author(s):  
David M. Bailey ◽  
Stuart D. Foltz ◽  
Myer J. Rosenfield
Keyword(s):  

2020 ◽  
Vol 12 (22) ◽  
pp. 3736
Author(s):  
Gennadiy Emel’yantsev ◽  
Oleg Stepanov ◽  
Aleksey Stepanov ◽  
Boris Blazhnov ◽  
Elena Dranitsyna ◽  
...  

The paper presents the developed integrated GNSS/IMU gyrocompass which, unlike the existing systems, contains a single-axis rotating platform with two antennas installed on it and an inertial measurement unit with tactical grade fiber-optic gyros. It is shown that the proposed design provides attitude solution by observing the signals of only one navigation satellite. The structure of the integrated GNSS/IMU gyrocompass, its specific features and prototype model used in the tests are described. The given test results in urban conditions confirmed heading determination accurate to ±1.5° (3σ).


2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.


2017 ◽  
Author(s):  
P. Millot ◽  
F. K. Wong ◽  
D. A. Rose ◽  
T. Zhou ◽  
R. Grover ◽  
...  

2008 ◽  
Author(s):  
V.G. Bedrin ◽  
M.M. Khasanov ◽  
R.A. Khabibullin ◽  
V.A. Krasnov ◽  
A.A. Pashali ◽  
...  

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