Orest Kochan

Approaches of voltage divider development for metrology verification of ADC

It is presented the method of testing signal generation for ADCs integral nonlinearity identification in testing point using measurement converter based on multi-resistors voltage divider with averaging voltages of all resistors. It is proved that such converter is insensitive to resistances and systematic errors of own resistors. There is evaluated error of ADCs nonlinearity identification, which is caused by changing the curvature of ADCs conversion function in the neighborhood of testing point. Also it is proposed method of number of testing point incrementing - “basic” method, and it is proposed the methodology of development such methods of testing points generation, which provides more evenly distribution of testing points via the range in comparison with “basic” method.

Estimation of the best measurement result and its standard uncertainty by input observations processing using the method of reference samples based on order statistics

In the paper the new method of the measurement observations processing, based on their comparison (after sorting) with several reference samples, which are corresponded to the models of the general population density distributions (so called reference distributions), is investigated and analyzed. The elements of reference samples are equal to the mathematical expectations of order statistics corresponding to the reference distribution. The mathematical models of the determination of the best result and its standard uncertainty are presented. The effectiveness of proposed method is investigated by the Monte Carlo method for 5 models of general population (Laplace, normal, triangular, uniform and arcsine) with the number of observations equal 9, 19, 29, 39 and 49. The proposed method can be used if the observations number is small. If the observations distribution significantly differs from normal distribution then the proposed method guarantees considerable decreases of the uncertainty result in comparison with the uncertainty of average value.

Data science applications to improve accuracy of thermocouples

This paper considers the usage of artificial intelligence, in particular, neural networks, to correct and compensate thermocouple errors. There are the correction of the thermocouple tolerance, the error due to conversion characteristic drift under the influence of high operating temperatures as well as the compensation of the error due to acquired thermoelectric inhomogeneity of thermocouple legs proposed in this paper. The correction is carried out using individual mathematical models based on neural networks. It is proposed the neural network method for controlling a temperature field to compensate the error due to acquired thermoelectric inhomogeneity.

A Low-Cost Network Controller for Security Systems

This paper describes the design of a low-cost network controller that can be used to interface sensors to security systems. This controller can use either a two-wired network interface with reconfigurable structure or an open optical channel for data communication with the network server. This design reduces the cost of data communication channels between sensors and the controller.

Decreasing Influence of the Error Due to Acquired Inhomogeneity of Sensors by the Means of Artificial Intelligence

Sensors usually have the biggest error among all components in a measuring system. The paper considers the application of the methods of artificial intelligence, in particular, neural networks and data science applications for sensor data processing. The main attention is focused on improvement of measurement accuracy when using inaccurate sensors. The abovementioned methods illustrated on the example of improvement of measurement accuracy of the most widely used temperature sensor—the thermocouple. Neural networks and other methods of artificial intelligence ensure the improvement of accuracy of temperature measurements by an order of magnitude. However, they require considerable complication in both hardware and software.

Researching robustness of information system for measuring of microcontrollers average power consumption

The work deals with researching robustness of information system for measuring of microcontrollers average power consumption. Defined the ways of ensuring robustness of the proposed method. Considered hardware for robustness of the proposed method and proposed methods of study of the robustness of the proposed method.

Improving the data reliability of measurement and control modules for distributed information-measuring systems

A method of improving the reliability of sensory data coming from measurement and control modules of distributed information-measuring systems and control actions formed by those modules is described. The proposed technical solutions by correcting additive, multiplicative and nonlinear error components of analog-to-digital converters provide the high reliability, survivability and. The preliminary reliability assessment of the proposed module is carried-out, and it confirmed the redundancy mechanisms need to be applied on the individual microcontroller, the sensor and the individual execution unit.

Experimental study of the input parameters of the data acquisition device NI USB 6009

The error of method appears when measuring voltage by data acquisition (DAQ) devices because of neglecting their input parameters. The experimental determination of input parameters, such as the equivalent Thevenin input voltage and resistance, for 9 DAQ devices NI USB 6009 was carried out. Uncertainties for these parameters are given as well. The experimentally determined parameters compared with that given in the device documentation.

INCREASING METROLOGICAL AUTONOMY OF IN-PLANT MEASURING SYSTEMS

The authors offer to solve the problem of providing traceability of measurements by increasing metrological autonomy of in-plant measuring systems. The paper shows the expedience of increasing metrological autonomy by creating a “virtual” reference. There are analysed possible variants of implementation of the “virtual” reference, which will provide high metrological stability of measurements at insignificant additional expenses. The authors point out the necessity of creation of universal technical and programmatic means of mutual comparison for the in-plant measuring systems to increase the reliability of measurements in the conditions of metrological autonomy.

The method of self-testing of thermocouples in situ

This paper considers the method of self-testing of thermocouple electrodes degradation without replacement from the operation place. The equivalent operating time of a thermocouple is obtained. This time allows determining its place in conversional characteristic error dependence on drift and acquired inhomogeneity. The necessary condition enabling self-testing is constant measuring junction temperature during the procedure of self-testing.