Evaluation of Metrological Reliability of Measuring Instruments under the Conditions of Incomplete Data

2014 ◽  
Vol 56 (10) ◽  
pp. 1111-1116 ◽  
Author(s):  
A. A. Korovaitsev ◽  
M. I. Lomakin ◽  
A. V. Dokukin
Author(s):  
Yevhen Ryzhov ◽  
Lev Sakovych ◽  
Yurii Myroshnychenko ◽  
Volodymyr Hrabchak ◽  
Yuriy Nastishin ◽  
...  

Modern and prospective communication means are among the most knowledge-driven, high-tech types of industrial products, which are subject to enhanced requirements for quality and efficiency of application. The effective functioning of modern communication means is provided by built-in software, including metrological support. In this paper, we consider the specifics of metrological maintenance of large-scale communication facilities (tens and hundreds of thousands of elements) consisting of separate subunits, the serviceability, maintenance, and recovery of which can be performed autonomously. It is proposed to enhance the efficiency of the by-state-maintenance (also called maintenance by the technical state) by accounting for the specifics of metrological support, establishing an optimal sequence of operations, selecting the measuring instruments in accordance with relevant requirements. To do this, one has to use a combined indicator composed of individual parameters of the tests and the probability of their preferred choice. This allows to assess the technical condition of the communication means with a given probability during a minimal time. In addition, one can estimate the time of maintenance, taking into account the metrological reliability and the probability of correct evaluation of the result of checking the parameters by the measuring instruments. The order of implementation of the obtained results is formalized in the form of an algorithm and an example of their realization is presented.


2005 ◽  
Vol 295-296 ◽  
pp. 619-624
Author(s):  
Roald E. Taymanov ◽  
Ksenia Sapozhnikova

It has been proved that artificial intelligence leaned on self-checking is an efficient factor for increasing metrological reliability of measuring instruments. The possibility to create intelligent measuring instruments based upon redundancy of measurement information and informational redundancy of a measuring transducer is presented. Practical examples are provided.


Author(s):  
Vladimir N. Yashin

An article deals with problems related to the assessment of metrological reliability of measuring instruments by method of generating functions. Metrological reliability of measuring instruments is the most important characteristic that determines the accuracy and reliability of physical quantities measurements. In the suggested article, a confidence indicator is proposed as an evaluation of metrological reliability. The quantitative value of confidence indicator can be estimated by means of the method of generating functions. This is a scientific novelty of the work. Relevance of the problem of assessing the measuring instruments metrological reliability evaluation is substantiated in this paper since the current trend towards structural and functional complexity of measuring instruments may lead to decreasing of their reliability and, in particular, metrological reliability. The main goal of this work is to systematize the problems of reliability of measuring instruments and evaluate their metrological reliability using the method of generating functions. On the base of selected mathematical model of the evolution of error of measurement and proposed indicator of metrological reliability means of the method of generating functions allow to carry out metrological forecast of variability of the error of measurement depending on time. The model of gradual failures with a discrete change of the error over time, which is typical for a certain class of measuring instruments, for example, measuring time intervals, was chosen as a model for the evolution of the error of measuring instruments. The method of generating functions used for evaluating the metrological reliability of measuring instruments has made it possible to increase the efficiency of the algorithm for quantitative evaluation of metrological reliability of measuring instruments by simplifying the mathematical operations that underlie it.


2019 ◽  
Vol 80 (3) ◽  
pp. 53-57
Author(s):  
Mykola Mykyychuk ◽  
◽  
Nadiya Lazarenko ◽  
Sergii Lazarenko ◽  
Anastasiia Riznyk ◽  
...  

1970 ◽  
Vol 13 (5) ◽  
pp. 753-756
Author(s):  
L. A. Nedostup ◽  
Ya. D. Plotkin ◽  
G. A. Shevtsov

Author(s):  
V. Kondratov

The paper identifies twelve problems of metrological reliability of wireless sensor systems that require their solution. The most urgent is the problem of determining the main parameters of the metrological reliability of wireless sensor systems. It is closely related to solving the problem of self-calibration of optical smart sensors that are part of the smart nodes of the system. The task of self-calibration of smart sensors is solved when three basic conditions are met: 1) when creating and using structurally redundant optical sensors designed to implement methods of redundant measurements; 2) when developing LEDs or other highly stable sources of optical radiation, including those with controlled parameters, for any given spectral range of wavelengths; 3) when creating in micro-performance filters on a priori given range of the spectrum of optical sines. The article describes two methods of metrological support for BSS smart sensors, based on the introduction of information redundancy by conducting three clock cycles of measuring physical quantity with a smart sensor, followed by processing the data using an a priori derived algorithm. The disadvantages and advantages of the methods are shown. It is stated that the use of the theory of excess measurements is the only correct way to solve the problem of self-calibration of sensors and measuring instruments. Given the harsh operating conditions of optical smart sensors, it is preferable to manufacture them using high technology. Today, in Ukraine, no one is engaged in a practical solution to the problems of metrological reliability of wireless sensor systems and the solution of the problems of self-calibration of smart sensors.


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