Graphical Programming Environment Research Articles

Analyzing the Tensile Strength of Carbon Fiber-Reinforced Epoxy Composites Using LabVIEW Virtual Instrument

Carbon fiber-reinforced polymer composites are widely used materials in the aircraft industry, automotive sector, marine applications, civil engineering, and daily consumer goods, due to their superior mechanical properties at a relatively low density compared to metallic materials. The studied composites are composed of an epoxy resin matrix in which three layers of carbon fiber fabric are embedded, oriented at 0 and 90 degrees. Carbon fiber-reinforced polymer composites were manufactured using the Vacuum Assisted Resin Transfer Molding technique. The tensile failure mechanism in carbon fiber-reinforced polymer composites is an extremely complex phenomenon influenced by numerous factors. This study aims to evaluate the mechanical behavior of carbon fiber-reinforced composites through tensile testing and to compare experimentally obtained results with those calculated using the mixture rule. Additionally, the behavior of the materials under tensile stress was analyzed using the digital image correlation method. Estimating mechanical properties based on the mixture rule is a common practice in the design phase of polymer composites. This study s novelty and originality lie in its anticipation of the tensile strength and modulus of elasticity of the studied composites. This anticipation was achieved using a virtual instrument developed in the LabVIEW graphical programming environment. The experimentally obtained results for the tensile characteristics of the studied materials are suitable for this type of composite. These results were compared with estimates derived from the mixture rule, and the absolute error was determined.

Automated code development based on genetic programming in graphical programming language: A pilot study.

Continual technological advances associated with the recent automation revolution have tremendously increased the impact of computer technology in the industry. Software development and testing are time-consuming processes, and the current market faces a lack of specialized experts. Introducing automation to this field could, therefore, improve software engineers' common workflow and decrease the time to market. Even though many code-generating algorithms have been proposed in textual-based programming languages, to the best of the authors' knowledge, none of the studies deals with the implementation of such algorithms in graphical programming environments, especially LabVIEW. Due to this fact, the main goal of this study is to conduct a proof-of-concept for a requirement-based automated code-developing system within the graphical programming environment LabVIEW. The proposed framework was evaluated on four basic benchmark problems, encompassing a string model, a numeric model, a boolean model and a mixed-type problem model, which covers fundamental programming scenarios. In all tested cases, the algorithm demonstrated an ability to create satisfying functional and errorless solutions that met all user-defined requirements. Even though the generated programs were burdened with redundant objects and were much more complex compared to programmer-developed codes, this fact has no effect on the code's execution speed or accuracy. Based on the achieved results, we can conclude that this pilot study not only proved the feasibility and viability of the proposed concept, but also showed promising results in solving linear and binary programming tasks. Furthermore, the results revealed that with further research, this poorly explored field could become a powerful tool not only for application developers but also for non-programmers and low-skilled users.

Particle Size Analysis of Nanopowders Using Neural Networks and Electron Microscopy

The purpose of the research is to develop an application capable of automatically determining the particle size distribution of nanopowder using neural network technology in order to simplify the process of preparing documentation during its manufacture.Methods. To determine the physical properties of nanopowders during their fabrication, it is necessary to analyze the particle size distribution. A methodology for determining the size distribution of nanopowder particles based on light neural networks is proposed. Images obtained by electron microscopy are used for processing, which allows to speed up the preparation of manufactured powders for sale. The dataset collected for training contains real images of samples of different powders, augmented data and generated images. The Python language, LabVIEW graphical programming environment, YOLO convolutional neural network and various Python language libraries were used in the development.Results. The study resulted in a model trained on the collected dataset that is capable of recognizing particles in images. A software interface was created to work with the model to analyze nanopowder samples.Conclusion. The developed application allows to automatically determine the size of each powder particle on the basis of the obtained images, as well as to build graphs of their size distribution. This greatly simplifies the work of nanopowder producers and facilitates the preparation of the necessary documentation for the produced product.

Mathematical Model of a Robot-spider for Group Control Synthesis: Derivation and Validation

A six-legged spider robot is a complex object from the point of view of the problem of synthesizing a system for controlling its movement. To synthesize an advanced control system for such a robot, which must solve non-trivial problems of overcoming obstacles, functioning under conditions of external disturbances, etc., we first solve the problem of synthesizing an information model of the object, on the basis of which its control system will subsequently be built.The paper compares two methods for synthesizing the information model of a six-legged spider-robot. In the first method, an information model is automatically synthesized from a CAD model of a spider-robot in a MATLAB-based graphical programming environment Simulink. In the second method, the information model is synthesized in the environment of dynamic modeling of technical systems SimInTech on the basis of a system of differential equations in the Cauchy form. Control loops and external influences are added to the information models synthesized in each of the modeling environments. The study showed that each of the resulting models has both its own individual advantages and disadvantages. They are mainly related to taking into account the mutual influence of various blocks of models on each other. It is shown that, in the end, the two models complement each other and make it possible to obtain an advanced basis for further synthesis of the motion control system.The results obtained in this work make it possible to use information models as a basis for the development of a control system for a physical model of a six-legged spider-robot, printed on a 3D printer and assembled on the basis of the Arduino hardware platform.

Measuring development of young students’ coding ability through a graphical teaching intervention: further explanation of the effect of coding experience and coding interest

ABSTRACT Coding ability has become an essential digital skill for young children. The graphical programming environment is valuable carrier for cultivating children’s coding ability. The purpose of this study is to develop a coding ability test for children, to conduct a graphic coding intervention, and to further explore the impact of multiple factors on children’s coding ability in ScratchJr intervention. First, the coding ability test for ScratchJr environment was developed based on Item Response Theory to measure kindergarten students’ coding ability. The result showed that there are good reliability, content, and structural validity of the test question. Secondly, we conducted a 12-week ScratchJr coding activity teaching experiment on 162 kindergarten students. The analysis of the treated group and the control group showed that coding activity teaching can effectively improve the students’ coding ability. Finally, this study analyzed the differences in children’s coding ability in coding interest, and coding experience. The results showed that the coding ability was affected by coding experience and coding interest. More interestingly, it was found partial mediation effect among coding ability, coding experience and coding interest. Moreover, ScratchJr coding intervention can influence the direct effect of coding experience on coding ability by improving children’s coding interest.

Improvement of the automatic temperature stabilisation process in the cryovacuum unit

This study concerns the issues of temperature stabilization in units used to research the properties of molecules at low and ultra-low temperatures. This research is relevant due to the need to increase the speed and accuracy of the data obtained. Using the LabView graphical programming environment tools, a control program was created for the LakeShore 325 thermocontroller which reacts when the current temperature is close to the control point temperature set by the researcher. By adding controls for the heating element power and PID controller boot times, it is possible to use them more flexibly. The method was verified for the temperature control points of 40 K, 100 K, 150 K and 200 K. A comparison of the proposed temperature stabilization program with the standard PID controller solution demonstrates the advantages of the former. The speed of reaching the control points was doubled. The digitalization of the LakeShore 325 thermocontroller makes it possible to work further on improving temperature stabilization. The resulting increase in the accuracy–time stabilization ratio makes it possible for those who conduct low-temperature experiments to improve the quality of their measurements dramatically. The introduction of a digital version of the temperature control device opens up possibilities for further automation of cryovacuum units by linking the thermal control program with other programs, for example, recording the spectra at specific temperature values.

АВТОМАТИЗАЦІЯ ВИМІРЮВАНЬ НА ДЕРЖАВНОМУ ЕТАЛОНІ ОДИНИЦІ КУТА ЗСУВУ ФАЗ МІЖ ДВОМА НАПРУГАМИ

The phase is one of the main parameters of the oscillatory process in electric circuits and contains two components – constant and variable. More often, it is not the actual phase that is measured, but the phase shift angle (PSA) between two oscillating processes (voltages or currents) of the same frequency in the range from 0 to 360˚. Then the PSA is equal to the difference between the constant components of the phases of the two oscillations and does not depend on the start of the time count. Most of the modern methods of measuring the phase and PSA are based on the methods of discretization and digital signal processing – complex Fourier transform, least squares, etc. There are many varieties and improvements of these methods, which have different characteristics of measurement accuracy. The LabVIEW graphical programming environment has already become a general- purpose programming environment. Advantages of LabVIEW include simple networking, implementation of common communication protocols, powerful toolkits for process control and data fitting, fast and simple user interface design, and an efficient code execution environment. The article presents the results of the automation of measurements on the State Standard of the PSA between two voltages in the frequency range from 5 Hz to 10 MHz. Automation of precision measurements of PSA using the Lab- VIEW software environment provides advantages in comparison with manual measurements, in particular, reducing the time of measurement and processing of its results by at least three times. This ensures an increase in the productivity of metrological works; increasing their efficiency and quality, and the possibility of increasing the number of measurements (up to 1000), which allows for improve the root mean square deviation of not less than one and a half times, and reduce the overall standard measurement uncertainty, respectively.

Implementation C++/QT framework for CAN communication

The goal of this paper is to explain and offer a solution to a problem that is often overlooked in the field of robotics and mechatronics used in transportation concepts. It is about the implementation of an existing motor drive based on control by a Controlled Area Network (CAN). This concept is proven, mainly in transport applications; however, it is not commonly applied in research articles. The term CAN is often slanted in the automotive embedded system, but the replacement of the embedded system by a computer as the master system is bringing many questions about its realization. Many research papers, due to that reason, prefer to use non-advanced actuators in the form of stepper motors for kits. A solution for the implementation of advanced servos communicated by CAN is offered in this paper. In addition to proposing the first solution for interface creation in robotic and mechatronic applications, the article offers a solution for developing a Graphical User Interface (GUI) using the C++/Qt framework, which allows for the development of an interface between a computer and a CAN converter. This solution is particularly important in the transportation sector, as it enables the development of specialized interfaces for communication with control units. For these tasks, LabView or MATLAB environments are widely used. However, the contribution of this article is to offer C++ with the Qt extension as a good replacement for a graphical programming environment. As is obvious, software engineering, electroengineering, and mechanical engineering are the three fundamental pillars that make up the methodology known as mechatronics. The answers, which are dealt with in the paper, discuss the connection between the programming and electrotechnology parts of mechatronics. A detailed description of the source code written in the C++ language and extended with the Qt framework is provided. This deals with Application Programming Interface (API) and motor control GUI example of the interface between a non-embedded master system and servo by USB2CAN converter. The freely downloadable source code provides a solution for the following challenges of implementation in the field of the research article.

DEVELOPMENT AND STUDY OF A MICROSPECTROMETER LAYOUT

The photoelectronic processes occurring in a vertically located double-barrier photode-tector under the influence of an external bias voltage are simulated depending on the char-acteristics of the penetrating waves. Under conditions of vertical illumination, to obtain the spectral dependence of the intensity of absorbed radiation, an algorithm was developed for selecting individual waves from the integral flux of the optical signal under conditions of changing the external bias voltage in steps of 1 mV. The algorithm takes into account the main cause-and-effect relationships between the absorption coefficient and design and technological parameters. It makes it possible to obtain the intensities of individual waves from the integral radiation flux in the optical range, where there is a change in the sign of the spectral characteristics and a linear dependence of the point of sign change on the ap-plied voltage. A general architecture, functional structure and remote control scheme for the monitor-ing system for hazardous substances have been developed, as well as corresponding pro-grams with the help of which the algorithm was operated in the LabVIEW environment. To run the algorithm, a prototype of a spectral analysis device was developed and prepared, in which an Arduino Mega board controlled by a microcontroller was used to analyze the output signal of the photodetector. The layout was tested using multi-colored LEDs. The spectral dependence of the inten-sity and its numerical data are obtained on the screen using a new principle. This method is novel and opens up prospects for further development of the field of micro-sized spectro-photometers. To identify mixtures by spectral analysis and estimate their quantity, the RDP (Remote Desktop) protocol of the remote system and the LABVIEW graphical programming envi-ronment were used. RDP was created by Microsoft to provide remote access to Windows servers and workstations.

Software for measurement uncertainty assessment and actual metrological characteristics of viscometers

The issue of implementation of software for rapid assessment of uncertainty of metrological control results of measuring instruments used in the field of state metrological control and supervision in calibration and evaluation of actual metrological characteristics of operating viscosimeters was considered. An interpretation of the application of the EXCEL program and other software for the special methodology for automating uncertainty calculations developed by us was carried out, which significantly simplified the work and reduced the time spent by specialists in the metrological laboratory. Basic requirements of comparison of software for calculation, calculation and estimation of uncertainty in the realm of mathematical models of validated techniques are determined. The experimental results of the comparative analysis taking into account the set tasks are presented, the most common and effective universal software for calculating the uncertainty of the results of the experiment. The object of the study is universal software for estimating the uncertainty of measurements and other metrological characteristics of viscometers, structured by types of measurements, in the graphic programming environment. The software can be used both in laboratories and in industrial premises. The workplace can be both a metrological laboratory, the working area of which is a table with instruments, and a production room. As a rule, accredited laboratories do not have a special staff of metrologists or specialists who perfectly understand the basics of mathematical statistics and the concept of measurement uncertainty. The complexity and necessary amounts of calculations that are carried out in assessing the uncertainty of measurements require significant laboratory resources.

Light intensity measurement using LabVIEW graphical programming environment

Abstract Lighting and light distribution have a crucial influence on factors such as performance and occupational safety. This paper aims to create a virtual instrument (VI), developed around the Arduino Uno development platform, designed to measure the light intensity using the BPW34 sensitive silicon PIN photodiode. The reverse-biased photodiode can be used as a light detector by monitoring the current flowing through it. Coupled to a 10Kohm resistor and considering the specifications of the BPW34 model, a simple relationship is offered between lux (light intensity) and the voltage across the resistance. The virtual instrument reads this voltage and converts it to a light intensity value in Lux. There is also an alarming function if the light intensity exceeds the set value. The VI also shows basic statistics like Max, Mean, and Min light intensity values.

LabVIEW Instruments for Creating Brain-Computer Interface Applications by Simulating Graphical Animations and Sending Text Messages to Virtual and Physical LEDs Based Display Systems Connected to Arduino Board

The brain-computer interface (BCI) is a multidisciplinary research field aimed at helping people with neuromotor disabilities. A BCI system enables the control of mechatronic devices by using cognitive intentions translated into electroencephalographic signals. This paper presents the implementation of LabVIEW-based display systems that can be controlled by a brain-computer interface based on detecting the voluntary eye blinks used as commands. The interactive virtual or physical display systems are helpful thanks to running or simulating various graphical animations or transmitting different text messages in a user-customizable way. The proposed LabVIEW-based virtual display systems provide versatile functionalities such as: customizing the own visual animations and the movement of any text message by switching the direction (to the left or to the right) depending on the user’s choice. This paper presents five original virtual LEDs based display systems developed in LabVIEW graphical programming environment. The implemented LabVIEW applications included: an 8x8 LEDs matrix for simulating graphical animations, 2x16 LCD TEXT for showing text messages, and a 7-segments display for implementing chronometer functionality. Moreover, the LabVIEW virtual display systems were interfaced with the physical display systems (8x8 LEDs matrix controlled by MAX7219 driver and 2x16 LCD TEXT) connected to the Arduino Uno board.

FUZZY REGULATOR OF THE ROD SUPPLY SYSTEM OF ARDUINO-BASED CROSS-WEDGE ROLLING MILL IN LABVIEW ENVIRONMENT

The main purpose of scientific work is to develop a regulator based on fuzzy logic for an electronic control system for the supply of bar billets in automated cross-wedge rolling complexes.
 Cross-wedge rolling belongs to the advanced energy-saving technologies where technological processes based on metal cutting are replaced by economic processes of plastic forming of details. The analysis showed that coefficient increase of metal utilization requires loss decrease arising from the supply inaccuracy of the bar workpiece to the length of the part. The task is to reproduce the given law of motion of the actuator, i.e. to ensure maximum speed, smooth acceleration and braking with the possibility of a shockless stop at the end of the stroke. The solution of this problem is proposed to be carried out by entering the fuzzy control unit into the structure of the system for controlling the supply..
 The hardware basis of the control system in this work is the Arduino hardware and software complex based on the Atmel AVR microcontroller. The software model of the control system is developed in the graphical programming environment LabVIEW, which is widely used as a standard tool for data collection and control of devices in industry, education and research laboratories. The construction of a fuzzy regulator and its implementation are considered using Fuzzy Logic Designer.
 On the basis of systematized knowledge about the object of research, its characteristics and features, linguistic input and output variables were selected, as well as membership functions and a fuzzy production model of knowledge was formulated. The configuration of the control system depends on the number of controlled outputs and controlled input data and in this case the MISO information structure is applied. The paper presents the front panel of the virtual device developed by LabVIEW, which is designed to display information about the current state of the system. The purpose of the developed fuzzy regulator model is to output the value of the initial air pressure in the cavity of the actuating pneumatic cylinder, which will create an air cushion in the process of advancing the piston, which has properties similar to those of a normal spring. Smooth stopping of the piston is provided by the coordinated choice of rigidity of a pneumatic spring taking into account length of a detail and weight of a rod and allows us to reduce kinetic energy in an end point of positioning that increases accuracy of supply.
 The analysis of research results confirmed the efficiency and adequacy of the model used and the developed set of operation rules of the fuzzy regulator. Testing of the control system on parts of different lengths confirmed a reduction in total losses and an increase in the utilization of the metal.

SIMULATION MODELING OF THE PROCESS OF DETERMINATION OF SURFACE ROUGHNESS PARAMETERS USING COMPUTER MEASURING TECHNOLOGIES

Modern trends in higher education are aimed at the fact that the educational process should become more dynamic and flexible, including the training of engineering specialists in higher educational institutions. During the pandemic caused by COVID-19, most institutions switched to distance learning, in connection with this, the use of virtual instruments created using the LabVIEW graphical programming environment is of particular relevance for practical and laboratory work. Such instruments allow you to conduct classes remotely. The article describes the designed virtual instrument for simulation modeling of the process of determining the surface roughness parameters. To implement this task, a model for calculating the surface roughness parameters is proposed, which takes into account the influence of the geometric parameters of the metal cutting tool and the physic of cutting process during workpiece processing. The modeling process of roughness measurement is carried out in two stages. At the first stage, the movement of the sensor of device the along the scanned surface and the sound of the device drive are simulated. At the second stage, the surface roughness parameters are calculated. The surface roughness profile is a superposition of the theoretical profile which is obtained by copying the profile of the cutting tool tip on the machined surface and random distortion of the profile due to the physic of cutting process. For the purpose of obtaining the coordinates of the theoretical profile points of the workpiece after processing it, an algorithm has been developed for calculating the current position of the profile point depending on the ratio of the feed values and the curvature radius tip of the cutting tool. Changing the position of the current point of the theoretical surface profile due to the impact of the physic of cutting process is taken into account by introducing random oscillations superimposed on the surface profile, which are generated by a random number generator according to the law of equal probability. A technique for processing an array of profile points coordinates to obtain surface roughness numerical parameters Rz, Ra and Rmax is described. The use of computer measuring technologies for solving tasks in the field of engineering using information and measuring equipment allows students to develop the skills to perform technical measurements, receive, analyze and critically evaluate the obtained measurement results

Верификация тепловой математической модели с сосредоточенными параметрами малого космического аппарата серии «АИСТ» на основе телеметрических данных, полученных в ходе его экспериментальной эксплуатации

The purpose of the study was to model a small spacecraft of the AIST series and verify this thermal mathematical lumped-parameter model using differential equations and relying on telemetry data obtained during the experimental operation of the spacecraft. Thermal lumped-parameter models are widely spread in designing small-sized onboard equipment for small spacecraft. The model calculation was done by Simulink, the MATLAB-based graphical programming environment for modeling multidomain dynamical systems. We developed a system of equations, consisting of equations for each zone from the outer and inner sides, as well as the equations for scientific equipment. The small spacecraft design is based on three-layer honeycomb panels with heat pipes. Photocells are installed on the outer sides of the panels of the spacecraft, thus making a significant contribution to its thermal state.

The Utility of Simulink Subsystems in Handling and Processing of Biomedical Signals and Images

To model, simulate, and analyze multi-domain dynamical systems, Simulink, which is a Matlab-based graphical programming environment, can be used effectively. Due to the drag-drop facility, accessible graphic user interface components, and zero coding environments, Simulink becomes the most used tool both in industry and academia. The design cycle time of any real-time systems can be reduced using Simulink than other software tools. This article focuses mainly on the utility behind the subsystems such as enabled subsystem, triggered subsystem, triggered and enabled subsystem, and control flow subsystem in biomedical signal and image processing. Image segmentation using enabled subsystem, voiced/unvoiced classification using triggered subsystem, and the computation of root-mean-square (RMS) amplitude using If Action subsystem are implemented using breast cancer image and human voice signal. The Matlab 9.4 tool is used for experimental simulation with the biomedical signals and images.

Intelligent Computing and Control Framework for Smart Automated System

This paper presents development and analysis of different control strategies for smart automated system. The dynamic role of an electrical motor and sensor interfacing with wireless module becomes an essential element in a smart agriculture system to monitor various environmental parameters. The various key parameters such as temperature, humidity, air pressure, soil health and solar radiation are widely used to analyze the growth of plants and soil health based on different climate conditions. However, the smart development of an automatic system to measure these vital parameters provides a feasible approach and helps the farmers to monitor their crops productivity. In this paper, a smart sensor based intelligent and automatic control strategies such as fuzzy logic controller and PID (Proportional Integral Derivative) controller is developed to collect the real time environmental parameters and to adapt any environmental conditions by updating their membership functions automatically with the help of sensor outputs. This paper targets to bring the usage of sensor-based intelligent and automatic control methods in the field of an agriculture system which includes automatic solar panel tracking and control, environmental vital parameters measurement, monitoring and implementation of intelligent control methods. The different experiments have been carried out with the support of graphical and microcontroller programming environment. Experimental results provide that the proposed system effectively measure the environmental parameters and provide an accurate transmission of data for continuous monitoring. The advantage of the proposed system is simple, easy to implement and maintain the dynamic environment for plants with respect to any climate conditions.

Reconfigurable Wireless Sensor Node Remote Laboratory Platform with Cloud Connectivity.

Thanks to the recent rapid technological advancement in IoT usage, there is a need for students to learn IoT-based concepts using a dedicated experimental platform. Furthermore, being forced into remote learning due to the ongoing COVID-19 pandemic, there is an urgent need for innovative learning methods. From our perspective, a learning platform should be reconfigurable to accommodate multiple applications and remotely accessible at any time, from anywhere, and on any connected device. Considering that many of the university courses are now held online, the reliability and scalability of the system become critical. This paper presents the design and development of a wireless configurable myRIO-based sensor node that connects to SystemLink Cloud. The sensors that were used are for ambient light, temperature, and proximity. A graphical programming environment (G-LabVIEW) and related APIs were used for rapid concept-to-development process. Distinct applications have been developed for the instructor and students, respectively. The students can select which sensor and application to run on the system and observe the measurements on the local student’s application or the cloud platform at a specific moment. They can also read the data on the cloud platform and use them in their LabVIEW application. In the context of remote education, we strongly believe that this platform is and will be suitable for the COVID and Post-COVID eras as well because it creates a much better remote laboratory experience for students. In conclusion, the system that was developed is innovative because it is software reconfigurable from the device, from the instructor’s application and cloud via a web browser, it is intuitive, and it has a user-friendly interface. It meets most of the necessary requirements in the current era, being also highly available and scalable in the cloud.

Contactless laser control and measuring complex for determining the level of winding pressure and magnetic conductor of power transformer

TARGET. The purpose of this work is to develop a non-contact laser control and measuring complex (LCMC) for vibration control of the level of pressing of windings and magnetic circuit of a power transformer. A laser vibrometer is used as a measuring element, the developed software in the LabVIEW graphical programming environment serves as a tool for processing vibration signals. The technical condition of the power transformer is analyzed by the amplitude spectra of the vibration of the tank of the transformer under study, formed using the fast Fourier transform algorithm in the LabVIEW software.METHODS. The vibration control method makes it possible to control a power transformer during its operation under voltage, which makes it possible to move from a planned system of transformer repairs to a system for taking out for repair according to the current technical condition.RESULTS. The developed LCMC allows to carry out non-contact measurements of vibration parameters of a power transformer under voltage and to establish the current level of pressing of windings and magnetic circuit.CONCLUSION. The developed LCMC with software allows contactless control of the technical condition of the magnetic circuit and the windings of the power transformer according to the amplitude-frequency characteristics of the vibration parameters, as well as the use of statistical methods for processing and analyzing signals received from the transformer.

Contactless laser control and measuring complex for determining the level of winding pressure and magnetic conductor of power transformer

TARGET. The purpose of this work is to develop a non-contact laser control and measuring complex (LCMC) for vibration control of the level of pressing of windings and magnetic circuit of a power transformer. A laser vibrometer is used as a measuring element, the developed software in the LabVIEW graphical programming environment serves as a tool for processing vibration signals. The technical condition of the power transformer is analyzed by the amplitude spectra of the vibration of the tank of the transformer under study, formed using the fast Fourier transform algorithm in the LabVIEW software.METHODS. The vibration control method makes it possible to control a power transformer during its operation under voltage, which makes it possible to move from a planned system of transformer repairs to a system for taking out for repair according to the current technical condition.RESULTS. The developed LCMC allows to carry out non-contact measurements of vibration parameters of a power transformer under voltage and to establish the current level of pressing of windings and magnetic circuit.CONCLUSION. The developed LCMC with software allows contactless control of the technical condition of the magnetic circuit and the windings of the power transformer according to the amplitude-frequency characteristics of the vibration parameters, as well as the use of statistical methods for processing and analyzing signals received from the transformer.