Applied Aspects of Modern Metrology [Working Title]

2022 ◽  
Keyword(s):  
1977 ◽  
Vol 20 (11) ◽  
pp. 1568-1571
Author(s):  
R. V. Khokhlov ◽  
N. G. Rambidi

2019 ◽  
Vol 15 (6) ◽  
pp. 74-79 ◽  
Author(s):  
E. Yu. Kolesnikov

Uncertainty as an attribute of fire and emerging risks has both objective and subjective origin. Like measure uncertainty in modern metrology, the uncertainty in the risk theory has qualitative and quantitative aspects. Several methods for uncertainty quantifying are known. Taking into account the specifics of dangerous industrial objects, the probabilistic approach to quantitative estimation of their risk parameter uncertainty is inapplicable. A good alternative is to assess the fire and emerging risks in the interval setting. In addition to directly assessing the uncertainty of the results obtained — the risk indicators — it also makes it possible to estimate the parametric sensitivity of the model and to assess the conservatism of the assumptions made.


1993 ◽  
Vol 34 (3) ◽  
pp. 153-155
Author(s):  
R. C. Thompson
Keyword(s):  

1986 ◽  
Vol 29 (2) ◽  
pp. 160-164
Author(s):  
V. A. Granovskii ◽  
L. M. Gutner ◽  
A. V. Savateev ◽  
T. N. Siraya ◽  
I. F. Shishkin

Mechanik ◽  
2019 ◽  
Vol 92 (12) ◽  
pp. 767-773
Author(s):  
Michał Wieczorowski ◽  
Paweł Pawlus ◽  
Bartosz Gapiński

The most up-to-date trends in development of length and angle metrology were presented. This development falls within a concept of Industry 4.0 and is understood as Metrology 4.0. Basic elements of these concepts and their connections were shown during years in relation to consecutive industrial revolutions. Specific issues regarding additive technologies were described with a view to functional filtration. Achievements of coordinate measuring technique in macro scale were also presented including optical scanning and computed tomography. In conclusions standardization works regarding the mentioned topics were described.


2015 ◽  
Vol 22 (4) ◽  
pp. 513-520
Author(s):  
Paweł Fotowicz

Abstract The paper deals with the problem of bias randomization in evaluation of the measuring instrument capability. The bias plays a significant role in assessment of the measuring instrument quality. Because the measurement uncertainty is a comfortable parameter for evaluation in metrology, the bias may be treated as a component of the uncertainty associated with the measuring instrument. The basic method for calculation of the uncertainty in modern metrology is propagation of distributions. Any component of the uncertainty budget should be expressed as a distribution. Usually, in the case of a systematic effect being a bias, the rectangular distribution is assumed. In the paper an alternative randomization method using the Flatten-Gaussian distribution is proposed.


Author(s):  
Terry Quinn ◽  
Jean Kovalevsky

Modern metrology is the result of more than 200 years of development that began with the creation of the decimal metric system at the time of the French Revolution and the beginning, at about the same time, of mass production using interchangeable parts. This article traces these developments and describes how world metrology is organized today and gives examples of applications of metrology showing how it concerns us all in many aspects of our daily life.


2007 ◽  
Vol 9 ◽  
pp. 51-60 ◽  
Author(s):  
Czesław Cempel

With the modern metrology we can measure almost all variables in the phenomenon field of a working machine, and many of measuring quantities can be symptoms of machine condition. On this basis we can form the symptom observation matrix (SOM) intended for condition monitoring. On the other hand we know, that contemporary complex machines may have many modes of failure, so called faults. The paper presents a method for the extraction of fault information from the symptom observation matrix by means of singular value decomposition (SVD) in the form of generalized fault symptoms. As the readings of the symptoms can be unstable, the moving average of the SOM was applied with success. The attempt to assess the diagnostic contribution of primary symptom was undertaken, and also some approach to connect SVD methodology with neural nets is considered. These possibilities are illustrated in the paper by processing data taken directly from the vibration condition monitoring of the machine.


Quantum ◽  
2020 ◽  
Vol 4 ◽  
pp. 317
Author(s):  
U. Seyfarth ◽  
A. B. Klimov ◽  
H. de Guise ◽  
G. Leuchs ◽  
L. L. Sanchez-Soto

In spite of their potential usefulness, Wigner functions for systems with SU(1,1) symmetry have not been explored thus far. We address this problem from a physically-motivated perspective, with an eye towards applications in modern metrology. Starting from two independent modes, and after getting rid of the irrelevant degrees of freedom, we derive in a consistent way a Wigner distribution for SU(1,1). This distribution appears as the expectation value of the displaced parity operator, which suggests a direct way to experimentally sample it. We show how this formalism works in some relevant examples.Dedication: While this manuscript was under review, we learnt with great sadness of the untimely passing of our colleague and friend Jonathan Dowling. Through his outstanding scientific work, his kind attitude, and his inimitable humor, he leaves behind a rich legacy for all of us. Our work on SU(1,1) came as a result of long conversations during his frequent visits to Erlangen. We dedicate this paper to his memory.


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