scholarly journals 5-Axis Force Calibration Test Results for the JAXA 60cm MSBS

2004 ◽  
Vol 52 (606) ◽  
pp. 309-315 ◽  
Author(s):  
Hideo Sawada ◽  
Tetsuya Kunimasu ◽  
Shinichi Suda ◽  
Yasushi Mizoguti ◽  
Takumi Okada
1975 ◽  
Author(s):  
R.K. McCardell ◽  
G.W. Cawood ◽  
C.M. Allison ◽  
C.G. Frederick

2016 ◽  
Vol 208 (1-4) ◽  
pp. 17-31 ◽  
Author(s):  
S. Kameda ◽  
H. Suzuki ◽  
T. Takamatsu ◽  
Y. Cho ◽  
T. Yasuda ◽  
...  

2015 ◽  
Vol 811 ◽  
pp. 210-216
Author(s):  
Ali Fatin ◽  
Afshin Banazadeh

The objective of this paper is to describe the calibration test method and conditions for MEMS-based IMUs including accelerometers and gyroscopes. This method is mainly used to derive deterministic error bounds within the acceptable range of accuracy. After a detailed description of the error model, the calibration process, test procedure, and test results as well as practical challenges are discussed. The presented method is simple, cheap and fast that takes only a few hours for calibration and validation of these sensors.


Hayabusa2 ◽  
2016 ◽  
pp. 17-31
Author(s):  
S. Kameda ◽  
H. Suzuki ◽  
T. Takamatsu ◽  
Y. Cho ◽  
T. Yasuda ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
pp. 26-30
Author(s):  
Husnun Nadzif ◽  
Tatyantoro Andrasto ◽  
Selamet Aprilian

Cultivation of eggplant plants requires special conditions, specifically with soil moisture about 80% - 90%. Factors that affect soil moisture on plant growth is water necessary. To meet the water necessary and keep the soil moisture can be done with watering the plants. Currently, the cultivation technique of eggplant is watered manually, then needed a system that is able to monitor of soil moisture and control waterpump to water the plants automatically so that soil moisture conditions can be maintained. This system uses Arduino as microcontroller, YL-69 soil moisture sensor, SIM800L GSM module as data transmission, waterpump as sprinkler, and website as interface of the system because has advantage and convenience on the operation. The research method used the method of Research and Development. Test is done with Black Box test, Sensor Calibration test, and performance of the system test. Black Box test results indicate the functions in the website can be run properly, the sensor calibration test results indicate an average error of 2,2%, and the performance testing system obtained percentage success of 100%.


Author(s):  
Don Augenstein ◽  
Herb Estrada ◽  
Ernie Hauser ◽  
Ed Madera ◽  
Steven Keijers ◽  
...  

External ultrasonic flow meters installed in a nuclear power plant feedwater system were suspected of containing a conservative bias (high reading) despite having been calibrated in a scale model laboratory test. Several independent measures of plant power level indicated that the bias could be as high as 2.0%. The first step in resolving the discrepancy was the construction of a computational fluid dynamics (CFD) model of the hydraulic configurations in which the flow meters were tested in the lab. The CFD model closely matched the original calibration test results. The CFD model for real plant geometry including certain upstream hydraulic features predicted calibration changes of the same sign and order of magnitude as the suspected bias. These upstream elements were absent in the original hydraulic model test. As a consequence of this finding, these additional features were included in new hydraulic calibration tests. Some effects predicted by the CFD model were verified and traceably confirmed, while others were contradicted by the data from the new model. Final calibration test results confirmed the presence of a bias, although not of the magnitude originally suspected. The calibration results provide a traceable measurement basis for use of the flow meters within their specified accuracy after correction for the bias. By use of a chordal ultrasonic flowmeter, velocity profile (pointed-ness) and swirl rates were measured during the tests. The tests, together with the velocity profile information from the CFD simulations, provided insights into the errors and omissions in the original calibration model tests and the assumptions on which the model was based. Finally the calibration tests highlight the strengths and limitations of CFD models for work of this kind.


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