Abstract
Our research has established that under industrial conditions the correction to the result of current measurements when an influencing parameter deviates from the rated value is rarely introduced. In a general case, the procedure for determining an additional measurement error implies that the measured values for an influencing parameter are applied to determine the degree of its deviation while a correction to the current measurement result is calculated as the product of this degree by its rated value.In a general case, a procedure for determining an additional measurement error includes two stages. At the first stage, the measured values for an influencing parameter are used to determine the degree of its deviation from the rated value. At the second stage, correction is calculated as the product of this degree by the rated value for an additional error.Such a technique to calculate a correction is time consuming and insufficiently precise, as it does not take into consideration the non-linear dependence of the additional error on a change in the influencing parameter, as well as the current value for the output signal of control tool. To determine the actual value for an influencing parameter and the additional measurement error under industrial operation of control tools, an integral functional method has been proposed. The method implies determining the difference of areas under the nominal and actual acreage static characteristics, limited to a range of measurement. The difference of areas is a function of the output signal of a control tool, a measured parameter and a change in the influencing parameter. It has been shown that the proposed method makes it possible to calculate the actual values for a technological parameter based on its measured and influencing parameters only. We have established regularities between the actual value for a measured parameter, the current value for the output signal from a control tool, and the measured value for an influencing parameter. The proposed method is important and valuable in the operation of computer-integrated control systems of technological parameters, as it makes it possible to determine the actual values for a measured parameter based on relevant algorithms without calculating corrections.
Highlights
The efficiency of technological processes is defined by the precision in maintaining technological parameters at the assigned level, which is standardized by respective regulations
Literature review and problem statement. As it is known [1], an additional measurement error of a control tool denotes a component of the error, which occurs as a result of deviation in any influencing magnitude from its normal value or because it leaves the region of normal values
It has been shown that additional measurement errors (AME) can be determined and estimated based on a change in the plane under the static characteristic of a control tool, which is limited by a measurement range, and is a product of change in an output signal and the measured parameter
Summary
The efficiency of technological processes is defined by the precision in maintaining technological parameters at the assigned level, which is standardized by respective regulations. The second method is the estimation, based on determining AME based on the measured value for a current influencing parameter at a known conversion coefficient along the channel of its effect. This method is approximate and does not take into consideration the character of AME distribution both over the measurement range of a technological parameter and based on a change in the influencing parameter. The second method is used to rate AME for the normative-technical documentation on a control tool It implies that the technical conditions specify AME, which is predetermined at a deviation of the influencing parameter by a certain rated variable, for example, at a deviation of temperature for every 10 °C from the normal flat (20±5) °C. The relevance of this work is in the construction of a method, which would make it possible to determine AVMP employing an appropriate algorithm based on the current value for an output signal from a control tool and the measured current value for an influencing parameter
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