Metrological characteristics of the torque measurement of electric motors

This paper proposes a method of determination of the basic metrological characteristics of measurement means (MM) in order to measure the torque of electric motors (EM), such as sensitivity, nominal conversion functions, and additive and multiplicative errors. The nature of change of metrological characteristics was researched using the Measurand Model derived, in the conversion measuring range studied in this paper. Summarised values for additive and multiplicative errors were established for the MM of torque, under the conditions of deviation in terms of the impact value from its nominal value. In addition, the methodology was analysed to enable recalculation of additive and multiplicative errors related to the standard uncertainty of type B. This was undertaken to establish the quality of measurement according to international standards. The research was founded on Measurand Model obtained for multiplicative and additive components in the errors inherent in torque MM

Evaluation of uncertainty in the measurement of sense of natural language constructions

The task of evaluating uncertainty in the measurement of sense in natural language constructions (NLCs) was researched through formalization of the notions of the language image, formalization of artificial cognitive systems (ACSs) and the formalization of units of meaning. The method for measuring the sense of natural language constructions incorporated fuzzy relations of meaning, which ensures that information about the links between lemmas of the text is taken into account, permitting the evaluation of two types of measurement uncertainty of sense characteristics. Using developed applications programs, experiments were conducted to investigate the proposed method to tackle the identification of informative characteristics of text. The experiments resulted in dependencies of parameters being obtained in order to utilise the Pareto distribution law to define relations between lemmas, analysis of which permits the identification of exponents of an average number of connections of the language image as the most informative characteristics of text

Evaluation of dynamic measurement uncertainty in the time domain in the application to high speed rotating machinery

This article proposes a spectral method of assessing the dynamic uncertainty of measurement devices, that allows the investigation of the accuracy of measurement in dynamic operating conditions in the frequency domain and the evaluation of the amplitude values of dynamic uncertainty based on input signal frequency characteristics and spectral function. The results were tested when evaluating the dynamic uncertainty in measurements of the vibration acceleration of an engine. It was established that the maximum value of the dynamic uncertainty of the measurement of the vibration acceleration stands at 0.14 m/s2 for an observation time of 300 s and with a nominal value of the signal of vibration acceleration of 2.34 m/s2 at a frequency of 6 kHz, which in relative units is 6%

Evaluation of dynamic measurement uncertainty in the time domain in the application to high speed rotating machinery

This article proposes a spectral method of assessing the dynamic uncertainty of measurement devices, that allows the investigation of the accuracy of measurement in dynamic operating conditions in the frequency domain and the evaluation of the amplitude values of dynamic uncertainty based on input signal frequency characteristics and spectral function. The results were tested when evaluating the dynamic uncertainty in measurements of the vibration acceleration of an engine. It was established that the maximum value of the dynamic uncertainty of the measurement of the vibration acceleration stands at 0.14 m/s2 for an observation time of 300 s and with a nominal value of the signal of vibration acceleration of 2.34 m/s2 at a frequency of 6 kHz, which in relative units is 6%