Error analysis method of weighing cycles based on robotic mass measurement system

Author(s):  
Dong Lei ◽  
qianyu xu ◽  
gang zheng ◽  
na wang ◽  
shuai tian
2019 ◽  
Vol 40 (1) ◽  
pp. 77-81
Author(s):  
HAO Renjie ◽  
WANG Zhongyu ◽  
LI Yaru

2013 ◽  
Vol 24 ◽  
pp. 1360002
Author(s):  
RUILIN ZHONG ◽  
JIAN WANG ◽  
CHANGQING CAI ◽  
HONG YAO ◽  
JIN'AN DING ◽  
...  

Mass measurement is influenced by air pressure, temperature, humidity and other facts. In order to reduce the influence, mass laboratory of National Institute of Metrology, China has developed an air pressure controlled mass measurement system. In this system, an automatic mass comparator is installed in an airtight chamber. The Chamber is equipped with a pressure controller and associate valves, thus the air pressure can be changed and stabilized to the pre-set value, the preferred pressure range is from 200 hPa to 1100 hPa. In order to keep the environment inside the chamber stable, the display and control part of the mass comparator are moved outside the chamber, and connected to the mass comparator by feed-throughs. Also a lifting device is designed for this system which can easily lift up the upper part of the chamber, thus weights can be easily put inside the mass comparator. The whole system is put on a marble platform, and the temperature and humidity of the laboratory is very stable. The temperature, humidity, and carbon dioxide content inside the chamber are measured in real time and can be used to get air density. Mass measurement cycle from 1100 hPa to 200 hPa and back to 1100 hPa shows the effective of the system.


2011 ◽  
Vol 301-303 ◽  
pp. 147-152
Author(s):  
Xiu Wu Sui ◽  
Xiao Guang Qi ◽  
Da Peng Li ◽  
Guo Xiong Zhang ◽  
Yu Ming Fan

The paper presents the measurement system of the air plane fuel mass consisting of cylinder shell resonating density meter and double cylinders capacitance level meter. The finite element analysis method of ANSYS10.0 is used to analyze the performance of cylinder shell resonator density meter and double cylinders capacitance fuel level sensor. On the base of simulation, the cylinder shell is 45mm in length, 9mm in radius, and 0.08mm in thickness, the material is 3J53; the double cylinders capacitance is 8mm in inside diameter, 23.6mm in outside diameter, and 550 mm in length. The experiments show the uncertainty of cylinder shell resonating density meter is only 0.12%, the uncertainty of double cylinders capacitance level meter is only 0.2%, and the uncertainty of the fuel mass measurement system is 0.4%.


1970 ◽  
Vol 26 (1) ◽  
pp. 175-180 ◽  
Author(s):  
Leon P. Hall ◽  
M. La Verne La Driere

80 emotionally disturbed and 80 neurologically impaired boys in a public school setting were matched for WISC Full Scale IQ and chronological age. An analysis was made of the Similarities subtest responses utilizing both the error-analysis method of Spence and the cognitive style procedure of Sigel for purposes of comparison. The Wilcoxon matched-pairs signed-ranks technique was used in analyzing the data. The results were as follows: (1) the error analysis approach provided the greater potential for differential diagnosis between the two groups under consideration; (2) use of the cognitive style scores permitted improved definition of the dynamic implications of the error-analysis categories, inadequate abstracting and narrative-descriptive responses; (3) diagnostic power was not increased when all responses as opposed to errors alone were considered.


2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Bambang Sukresno ◽  
Dinarika Jatisworo ◽  
Rizki Hanintyo

Sea surface temperature (SST) is an important variable in oceanography. One of the SST data can be obtained from the Global Observation Mission-Climate (GCOM-C) satellite. Therefore, this data needs to be validated before being applied in various fields. This study aimed to validate SST data from the GCOM-C satellite in the Indonesian Seas. Validation was performed using the data of Multi-sensor Ultra-high Resolution sea surface temperature (MUR-SST) and in situ sea surface temperature Quality Monitor (iQuam). The data used are the daily GCOM-C SST dataset from January to December 2018, as well as the daily dataset from MUR-SST and iQuam in the same period. The validation process was carried out using the three-way error analysis method. The results showed that the accuracy of the GCOM-C SST was 0.37oC.


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