English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The article discusses metrological reliability of measuring equipment (ME), argues that ME imprecision must be considered not in statics, 'out in dynamics, taking into account the change of its characteristics over time. Measurement imprecision and its components are considered as random processes that are fully characterized by multidimensional distribution. It is advisable to determine the probability of metrological measurements directly from the experiment due to the difficulties of analytical solution to the problem. The characteristics of dynamic imprecision depend on both the values of the measured object and the ME properties. The physical cause of dynamic imprecision taking place is inertia of ME, its exhaustive description relies on the use of Duamel integral, which determines the response of inertial link to the input influence. As a criterion for signal differences one can use quite different functionals, taking into account further use of measurement results, the convenience of computing, the properties or input influences, and so on. It is most expedient to use the dispersion of signal differences. To calculate the parameters of dynamic imprecision it is necessary to know the energy spectrum of the input signal. The given ratios can be used for both stationary and non-stationary processes.&#x0D;The paper provides examples of using these ratios, recommendations for reducing measurement errors in each particular case.

Features of Dynamic Error Analysis in the Process of Evaluation of Metrological Reliability of Measuring Equipment