BPRS displacement and its characteristics showed that the possible causes of deviations are imperfections of the method, operating principle, manufacturing inaccuracy, the volatility voltage amplitude of the power source, its form, and frequency, as well as other adverse external conditions.
The most important characteristic of biparametric resonance sensors (BPRS) of displacement, like any measuring transducer, is its deviation [1].
In this work, the deviation of the BPRS movement was estimated by the method of parametric structural schemes (PSS) [3]. The advantage of this method is the ability to analyze deviation that is invariant from the physical nature of the phenomena occurring within the sensors. Besides, this method is visual and convenient when compiling deviation equations that take into account all their types.
The PSS of the developed BPRS displacement taking into account possible sources of deviations is shown in Figure 1.
In view of the systematic and random component of the deviation of each elementary transformation according to PSS, it is allowed to write the following system of equations for the right section of the BPRS:
This paper considers the improvement of the information-measuring complex for diagnostics and monitoring of traction power supply equipment under high-speed traffic, which has several features associated with a multilevel hierarchical structure, spatial distribution of objects, energy modes and functional relationships. The analysis of the transmission and conversion of measuring analogue information into a digital one, considering the maximum frequency of the primary signal spectrum components according to the sampling and quantization parameters to determine the time of the signal converted into a digital form is made. Functional dependencies and an algorithm for measuring information processing, considering the multilevel structure of traction power supply, which allow increasing the reliability and accuracy of diagnosing the main objects in high-speed traffic, are obtained.
This paper considers the matters of estimating errors in measuring and processing diagnostic values of power facilities of power supply of high-speed railways. An information model of the channel for measuring and processing measuring information has been developed, which makes it possible to analyze measurement errors against the background of disturbing external influences, time sampling and coding, signal comparison devices with settings for the lower and upper boundaries of the zone of normal values, as well as obtaining mathematical expectations, standard deviations and other numerical characteristics defining the regression analysis. Permissible error values of the measured parameters are determined for a given confidence level.
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