Перегляд за автором "Zadorozhna, I."
Зараз показано 1 - 3 з 3
Результатів на сторінку
Варіанти сортування
Публікація Data processing specific features of COOMET supplementary bilateral comparisons(NNC Institute of metrology, 2020) Zakharov, I. P.; Botsiura, O. A.; Zadorozhna, I.The article provides examples of the application of electrical resistance standards in metrological practice. Existing methods for their calibration are analyzed. It is established that calibration using a comparator is the most accurate and common method for calibrating electrical resistance standards. A model for transferring the size of the resistance unit in calibration of electrical resistance standards using a comparator is considered. An expression is given for the evaluation of the value of measurand. The procedure for estimating the expanded measurement uncertainty based on the kurtosis method is described, and the uncertainty budget is drawn up. An example of evaluation of the measurement uncertainty in calibration of the resistance coil P321 using a resistance comparator P3015 is given. The coincidence of the obtained results with those got using the Monte Carlo method is shown.Публікація Measuring instruments calibration: advanced realisation of key elements(2023) Zakharov, I.; Botsiura, O.; Zadorozhna, I.; Semenikhin, V.; Diakov, D.; Grokhova, G.The main elements of measuring instruments calibration are described. The basic models of calibration of indicating measuring instruments and material measures, and the corresponding procedures for measurement uncertainty evaluating based on the kurtosis method are presented. Methods for validating calibration procedures for various types of measuring instruments are proposed. A technique for assessing the compliance of a calibrated measuring instruments with the given metrological characteristics is consideredПублікація Universal mobile cartographic systems for geospatial data collection(2021) Zakharov, I. P.; Varvanskyi, V.; Zadorozhna, I.The work of the mobile cartographic 3D scanning system Trimble MX 2 is considered. It is a spatial visualization complex that combines high-resolution laser scanning and precise positioning for capturing point clouds using georeferencing. Positioning accuracy is achieved through the combined use of GNSS and an Inertial Measurement Unit (IMU). The main components of the system are: the G360 high-resolution digital panoramic camera, which takes continuous color photography using five cameras located around the perimeter and one on top; laser system with one or two rotating lasers, which operate at a distance of up to 420 m, have a 360 ° viewing angle and allow data collection with an error of up to 3 mm; navigation subsystem Aplanix AP60 with a GNSS receiver and high-quality IMU, which are responsible for the accuracy of geolocation; odometer – a device for measuring distance in difficult GNSS conditions.