Radiometric validation of NASA’s Ames Research Center’s Sensor Calibration Laboratory

2005 ◽  
Vol 44 (30) ◽  
pp. 6426 ◽  
Author(s):  
Steven W. Brown ◽  
B. Carol Johnson ◽  
Stuart F. Biggar ◽  
Edward F. Zalewski ◽  
John Cooper ◽  
...  
2010 ◽  
Vol 44-47 ◽  
pp. 946-950
Author(s):  
Wei Bin Wu ◽  
Tian Sheng Hong ◽  
Jin Xing Guo ◽  
Xian Mao Liu ◽  
Xie Ming Guo ◽  
...  

Air-Fuel Radio (AFR) analyzer technology is basically mastered by monopolies of developed country nowadays. Due to the lack of development in China, it has a strong practical value to study the accurate, rapid response and portable air-fuel ratio analyzer. This article is based on the AFR calculation model microcomputer hardware and software system design, background monitoring software design and debugging and measurement system, and on the choice of universal oxygen sensor calibration laboratory, establishing a wide-range of oxygen sensor output voltage and AFR model. The main features of AFR analyzer are measurement and display of air-fuel ratio, excess air coefficient or oxygen content, via RS232 communication with host computer or via Control Area Network (CAN) bus and vehicle ECU communication function. Test results showed that the error can be controlled at ± 0.03 λ range when comparing the Analyzer measurement values to calculated values. Compared with American Innovate company LM-2 air-fuel ratio analyser, the maximum relative error measured is ±0.08 when exhaust flood or too dilute, the average measurement error is ±0.04 while λ is between 0.8 and 1.3.


Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1792
Author(s):  
Paweł Jamróz

The complex ventilation system development process is associated with the stages of modelling, design, execution, and testing. Each of these steps requires the use of measuring equipment that is capable of determining the basic parameters of the flow. In the process of calibrating instruments for measuring flow velocity, one of the limitations is the size of the calibrated devices positioned in the test section of the wind tunnel. This is related to the change in the flow condition within the vicinity of the calibrated anemometers, which is caused by the blockage effect. Instruments with significant dimensions in relation to the cross-sectional area of the wind tunnel test section may have an impact on the reference velocity as indicated by the standard. In such cases, the calibration results may be affected by additional systematic error. This article presents a study of this effect using a real case of a calibration laboratory and commonly used sensors. The influence of different types of air velocity sensors on velocity profiles in the measurement standard area is also investigated. Additionally, the area of the blockage effect is described. The obtained results indicate the possibility of a proper placement for the measuring standard due to minimization of the flow-blocking effect.


2008 ◽  
Vol 42 (6-8) ◽  
pp. 953-964
Author(s):  
Stefan Löhle ◽  
Jean-Luc Battaglia ◽  
Jean-Christophe Batsale

2020 ◽  
pp. 1-1
Author(s):  
Xiangang Li ◽  
Shenggang Yan ◽  
Jianguo Liu ◽  
Yang Sun ◽  
Youyu Yan

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 957 ◽  
Author(s):  
Anas M. Tahir ◽  
Muhammad E. H. Chowdhury ◽  
Amith Khandakar ◽  
Sara Al-Hamouz ◽  
Merna Abdalla ◽  
...  

Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities. The various limitations such as cost, non-portability, long setup time, post-processing time etc., of the current gait analysis techniques have made them unfeasible for individual use. This led to an increase in research interest in developing smart insoles where wearable sensors can be employed to detect vertical ground reaction forces (vGRF) and other gait variables. Smart insoles are flexible, portable and comfortable for gait analysis, and can monitor plantar pressure frequently through embedded sensors that convert the applied pressure to an electrical signal that can be displayed and analyzed further. Several research teams are still working to improve the insoles’ features such as size, sensitivity of insoles sensors, durability, and the intelligence of insoles to monitor and control subjects’ gait by detecting various complications providing recommendation to enhance walking performance. Even though systematic sensor calibration approaches have been followed by different teams to calibrate insoles’ sensor, expensive calibration devices were used for calibration such as universal testing machines or infrared motion capture cameras equipped in motion analysis labs. This paper provides a systematic design and characterization procedure for three different pressure sensors: force-sensitive resistors (FSRs), ceramic piezoelectric sensors, and flexible piezoelectric sensors that can be used for detecting vGRF using a smart insole. A simple calibration method based on a load cell is presented as an alternative to the expensive calibration techniques. In addition, to evaluate the performance of the different sensors as a component for the smart insole, the acquired vGRF from different insoles were used to compare them. The results showed that the FSR is the most effective sensor among the three sensors for smart insole applications, whereas the piezoelectric sensors can be utilized in detecting the start and end of the gait cycle. This study will be useful for any research group in replicating the design of a customized smart insole for gait analysis.


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