Development of a Method for Improving the Accuracy of the Measuring Channel
Keywords:
Measurement Error, Random Error, Regular Error, Systematic Measurement, Dynamic Measurement, Measurement Channel, Filtering, Averaging, Finite Sum, TrendAbstract
Purpose: An analysis of the known methods of increasing accuracy of digital dynamic measurement results of continuous physical
values from the perspective of correcting filtration shows narrowcasting of these methods towards suppression of certain components
of a resulting error (hereditary, i.e. accumulated in links of a measurement chain, instrumental, and methodical error) of a measuring
channel. Consequently, there is a need to develop a universal method of increasing accuracy of dynamic measurement results in
a digital measuring channel. Results: There has been elaborated a universal method of increasing accuracy of a measuring channel where universality implies its relevance to characters, places of appearance and background of error components of measurement results. The essence of the proposed method is use of finite differences to eliminate random error components in a measurement signal and subsequent application of an operator of finite sum for retrieval of a trend, i.e. a useful component of a measurement signal from a filtered mixture. The experiments resulted in defining sufficiently high efficiency of the developed universal method of increasing accuracy with respect to suppression of both random and systematic error components. Practical relevance: The proposed method of decreasing various types of errors can be applied for dynamic measurements almost of all types of signals.