scholarly journals Evaluating measurement uncertainty in absolute gravimetry: An application of the Monte Carlo method

2008 ◽  
Author(s):  
Walter Bich ◽  
Giancarlo D'Agostino ◽  
Alessandro Germak ◽  
Francesca Pennecchi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Absolute Gravimetry ◽  
The Monte Carlo Method

A Simplified Software for Uncertainty Estimation Using Monte Carlo Method

2020 ◽  
Vol 12 (8) ◽  
pp. 1050-1053
Author(s):  
Jasveer Singh ◽  
L. A. Kumaraswamidhas ◽  
Neha Bura ◽  
Kapil Kaushik ◽  
Nita Dilawar Sharma
Keyword(s):  
Monte Carlo ◽  
Standard Deviation ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Standard Uncertainty ◽  
Uncertainty Estimation ◽  
End Points ◽  
The Monte Carlo Method ◽  
Adaptive Trials ◽  
Coverage Interval

The current paper discusses about the application of Monte Carlo method for the evaluation of measurement uncertainty using in-house developed program on C++ platform. The Monte Carlo method can be carried out by fixed trials as well as adaptive trials using this program. The program provides the four parameters viz. estimate of measurand, standard uncertainty in the form of standard deviation and end points of coverage interval as an output.

scholarly journals Verification of the Indicating Measuring Instruments Taking into Account their Instrumental Measurement Uncertainty

2017 ◽  
Vol 17 (6) ◽  
pp. 269-272
Author(s):  
Igor Zakharov ◽  
Pavel Neyezhmakov ◽  
Olesia Botsiura
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Measuring Instruments ◽  
Legal Metrology ◽  
The Monte Carlo Method ◽  
Uncertainty Of Measurements ◽  
Instrumental Measurement ◽  
Probability Of Compliance

Abstract The specific features of the measuring instruments verification based on the results of their calibration are considered. It is noted that, in contrast to the verification procedure used in the legal metrology, the verification procedure for calibrated measuring instruments has to take into account the uncertainty of measurements into account. In this regard, a large number of measuring instruments, considered as those that are in compliance after verification in the legal metrology, turns out to be not in compliance after calibration. In this case, it is necessary to evaluate the probability of compliance of indicating measuring instruments. The procedure of compliance probability determination on the basis of the Monte Carlo method is considered. An example of calibration of a Vernier caliper is given.

scholarly journals MEASUREMENT UNCERTAINTY EVALUATION OF BRINELL HARDNESS TEST: GUM AND MONTE CARLO METHOD

2018 ◽  
Vol 15 (30) ◽  
pp. 252-258
Author(s):  
L. TREVISAN ◽  
D. A. K. FABRICIO
Keyword(s):  
Mathematical Method ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Brinell Hardness ◽  
Hardness Test ◽  
Mechanical Tests ◽  
Uncertainty Evaluation ◽  
The Monte Carlo Method ◽  
Measurement Uncertainty Evaluation

The Brinell hardness test is one of the most used mechanical tests in the industry to assure the quality of metallurgical processes. Based on the measured values, it is necessary to describe the measurement uncertainty values associated with the mathematical method used. Thus, measurement uncertainty values describe the reliability of the experimental results. The calculation of measurement uncertainty can be performed in several ways, and the method described by ISO/GUM is the most used by ISO/IEC 17025 accredited laboratories. The main objective of this work is to compare measurement uncertainty values based on different sources of uncertainty used in the measurement uncertainty evaluation for two Brazilian laboratories accredited by Cgcre/INMETRO. In addition, uncertainty values obtained by the GUM method and by the Monte Carlo method were compared. The results show that there is no great variation in the measurement uncertainty values as a function of the mathematical method used.

scholarly journals Measurement uncertainty of plane-strain fracture toughness KIC testing by the Monte Carlo Method

2018 ◽  
Vol 71 (2) ◽  
pp. 235-241
Author(s):  
Daniel Antonio Kapper Fabricio ◽  
Lisiane Trevisan ◽  
Afonso Reguly ◽  
Carla Schwengber ten Caten
Keyword(s):  
Fracture Toughness ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Measurement Uncertainty ◽  
Plane Strain ◽  
Plane Strain Fracture Toughness ◽  
The Monte Carlo Method ◽  
Strain Fracture

scholarly journals Analysis of measurement uncertainty of a surface acoustic wave micro-pressure sensor

2019 ◽  
Vol 52 (1-2) ◽  
pp. 116-121 ◽  
Author(s):  
Jian Huang ◽  
Yuanyuan Li ◽  
Bei Jiang ◽  
Le Cao
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Acoustic Wave ◽  
Measurement Uncertainty ◽  
Surface Acoustic Wave ◽  
Pressure Sensor ◽  
Uncertainty In Measurement ◽  
The Monte Carlo Method ◽  
Inclusion Interval ◽  
And Control

As an important support for test and control projects, sensor’s performance is directly related to the accuracy of the measurement. To fully analyze the sources of measurement uncertainty for a surface acoustic wave micro-pressure sensor, in this study the Monte Carlo method and Guide to the Expression of Uncertainty in Measurement to evaluate measurement uncertainty of sensors are used, the sensing experiment was conducted and the measurement addition model was established. We determined the source of measurement uncertainty for a surface acoustic wave micro-pressure sensor. The results show that the Monte Carlo method can obtain a more reliable and accurate inclusion interval in the measurement uncertainty evaluation of a surface acoustic wave micro-pressure sensor.

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