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

2021 ◽  
Vol 23 (3) ◽  
pp. 140-153
Author(s):  
V. R. Basenko ◽  
O. V. Vladimirov ◽  
I. V. Ivshin ◽  
M. F. Nizamiev
Keyword(s):  
Magnetic Circuit ◽  
Power Transformer ◽  
Technical Condition ◽  
Laser Vibrometer ◽  
Magnetic Conductor ◽  
Labview Software ◽  
Measuring Complex ◽  
Amplitude Spectra ◽  
Laser Control ◽  
Vibration Parameters

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.

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

2021 ◽  
Vol 23 (3) ◽  
pp. 155-168
Author(s):  
V. R. Basenko ◽  
O. V. Vladimirov ◽  
I. V. Ivshin ◽  
M. F. Nizamiev
Keyword(s):  
Magnetic Circuit ◽  
Power Transformer ◽  
Technical Condition ◽  
Laser Vibrometer ◽  
Magnetic Conductor ◽  
Labview Software ◽  
Measuring Complex ◽  
Amplitude Spectra ◽  
Laser Control ◽  
Vibration Parameters

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.

Laser Control and Measuring Complex for Non-contact Vibration Control of the Power Transformer Technical Condition

2021 ◽  
pp. 157-167
Author(s):  
Vasily Basenko ◽  
Oleg Vladimirov ◽  
Igor Ivshin ◽  
Marat Nizamiev ◽  
Ilnur Usmanov
Keyword(s):  
Vibration Control ◽  
Power Transformer ◽  
Technical Condition ◽  
Measuring Complex ◽  
Laser Control

scholarly journals Application of Laser Vibrometry to Assess Defects in Ship Hull’s Welded Joints’ Technical Condition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 895
Author(s):  
Adam Szeleziński ◽  
Adam Muc ◽  
Lech Murawski ◽  
Marcin Kluczyk ◽  
Tomasz Muchowski
Keyword(s):  
Optical Sensors ◽  
Welded Joints ◽  
Measurement Data ◽  
Technical Condition ◽  
Laser Vibrometer ◽  
Laser Vibrometry ◽  
Destructive Testing ◽  
Laser Sensors ◽  
Measurement Methodology ◽  
The Mathematical Model

The paper presents the measurement process and test results for six thin-walled plates with different dynamic characteristics caused by different defects of welded joints. The tests were carried out using non-destructive testing (NDT). The authors made an attempt to determine the validity of the use and degree of effectiveness of the tests based on laser vibrometry in detecting defects in welded joints. The tests of welded plates were carried out using displacement laser sensors and piezoelectric accelerometers, while the source of vibration extortion was a modal hammer. In the adopted measurement methodology, the application of accelerometers was to obtain the reference data, which allowed for comparison with the measurement data obtained from the laser vibrometer. The analysis of the obtained measurement data, in the fields of time and frequency, made it possible to verify the correctness of the data obtained by means of laser vibrometry and to determine the requirements which are necessary for the correct performance of NDT tests and in the future structural health monitoring (SHM) system of welded joints with the use of a laser vibrometer. The mathematical model developed in the MSC software Pastran-Nastran was also used in the work. The model was developed for the purpose of mutual verification of the measurement and calculation tests. At the present stage of work, it can be stated that the results obtained by laser vibrometry methods should be treated as a supplement to the research conducted with traditional piezoelectric accelerometers. In certain situations, they can be used as an alternative to accelerometers, due to the fact that laser sensors do not require direct contact with the examined object. Where the object under test may be in a strong electromagnetic field, optical sensors are better suited than contact sensors.

scholarly journals Mining Equipment Technical Condition Monitoring

2018 ◽  
Vol 41 ◽  
pp. 03020 ◽  
Author(s):  
Evgeny Kuzin ◽  
Vladimir Bakin ◽  
Dmitriy Dubinkin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Condition Monitoring ◽  
Technical Condition ◽  
Process Equipment ◽  
Mining Equipment ◽  
The Earth ◽  
Vibration Parameters ◽  
Reducing Energy

The Earth, being the main object and operational basis for mining, is exposed to the greatest impact because of extracting minerals. Protection of elements of the biosphere, including subsoil, should provide for the provision of scientifically based and economically justified completeness and complexity of use. The article discusses the need to monitor the technical condition of mining equipment, as applied to assessing its technical condition and reducing energy consumption by this equipment. The dependence of energy consumption on vibration parameters and temperature of equipment surfaces is shown. The data of the results of vibration parameters monitoring are given. Criteria are given for estimating the energy efficiency of operation of process equipment and, accordingly, the influence of these parameters on the environment.

scholarly journals Forecast model for estimating the service life of a diagnosed object based on the Neyman–Pearson method

2018 ◽  
Vol 216 ◽  
pp. 03011
Author(s):  
Sergey Barsukov ◽  
Sergey Pakhomov
Keyword(s):  
Service Life ◽  
Power Transformer ◽  
Impurity Content ◽  
Forecast Model ◽  
Threshold Value ◽  
Technical Condition ◽  
Transformer Oil ◽  
Average Risk ◽  
Iron Impurity ◽  
Object Based

The paper is aimed at developing a forecast model for estimating the service life of a diagnosed object based on the Neyman–Pearson method. It presents a procedure for selecting necessary and sufficient number of diagnostic indicators using the forecast model. The technique has been tested on the basis of a power transformer with a liquid dielectric. A condition-based operation strategy has been proposed for the transformer. According to this strategy, the iron impurity content in the dielectric liquid (oil) of the transformer should be measured every year of operation. Based on the forecast model, it is possible to calculate the variation of average risk (R) and a threshold value of iron impurity content in the transformer oil (k0) for each year of operation. Using these parameters, a reliable forecast model can be constructed to estimate the remaining service life of the transformer. The obtained relationships make it possible to identify a scientifically grounded stage in the service life of a diagnosed object, at which the number of measurable diagnostic indicators (indicators that are necessary for assessing the real technical condition of equipment) can be minimized.

A Mathematical Model of a Modified Voice Coil Energy Harvester

2011 ◽  
Author(s):  
Alireza Hekmati ◽  
Siamak Arzanpour
Keyword(s):  
Magnetic Field ◽  
Magnetic Flux ◽  
Flux Density ◽  
Peak Power ◽  
Magnetic Field Intensity ◽  
Magnetic Circuit ◽  
Magnetic Flux Density ◽  
Magnetic Conductor ◽  
Magnetic Circuits ◽  
The Magnetic Field

This paper presents a mathematical modeling of a modified voice coil generator, which consists of a moving coil within a fixed magnetic circuit. The simulation has been done with Comsol Multiphysics software, which is a powerful tool to demonstrate the pattern of magnetic field and calculate the induced current in the coil. In our simulations, the magnetic circuit consists of the magnetic conductor and the air gap. In this analysis, the magnetic flux density and the magnetic field intensity are calculated. Moreover, through calculation of the total reluctance of the magnetic circuit and employing the ohm’s law for magnetic circuits, the effect of the length and cross section of the total circuit on the magnetic flux are investigated. Finally, a pattern for the magnetic flux density are demonstrated and the simulation result indicates that the magnetic field is well concentrated on the coil area, therefore this prototype can capture and convert most of the kinetic energy to electricity. A prototype has been fabricated and tested on the shaker. The experimental results indicate that this setup is able to produce the maximum voltage of 0.326 V and the peak power equal to 2.605 mW in 35 Hz frequency and 1 mm peak to peak amplitude.

scholarly journals Assessment of the current technical condition of electrical equipment based on an artificial neural network

2021 ◽  
Vol 2131 (5) ◽  
pp. 052049
Author(s):  
V Z Manusov ◽  
M R Otuzbaev ◽  
M A Scherbinina ◽  
G V Ivanov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
High Efficiency ◽  
Power Transformer ◽  
Reliability And Validity ◽  
Electrical Equipment ◽  
Technical Condition ◽  
Computer Assisted ◽  
Technical Diagnostics ◽  
Artificial Neural

Abstract Assessment of the current technical condition is an important task, so the state of electrical equipment depends on its further operability. Thanks to modern computing devices, it is possible to implement actively artificial intelligence and computer-assisted learning methods that allow achieving high efficiency in data processing. A study was conducted and an algorithm for diagnosing the technical condition based on an artificial neural network was developed. A model based on a multilayer perceptron is proposed, which allows evaluating the technical condition of a high-voltage power transformer. The result of the technical diagnostics of the model is the assignment of the condition to one of the five classes, proposed by the guidelines presented by the International Council on Large Electrical Systems. The methodology is presented on the example of a 250 MVA transformer with a certain defect history, which allowed us to show the reliability and validity of the obtained results. It is shown that the use of the proposed model makes it possible to achieve accuracy in determining the technical condition of 0.95. The introduction of this model into an automated monitoring and diagnostics system will allow assessing the technical condition of electrical equipment in real time with sufficient accuracy.

scholarly journals METHOD FOR MONITORING THE PARAMETERS OF THE TECH-NICAL CONDITION OF THE TRANSMISSION OF A TRACK

2021 ◽  
Author(s):  
I.M. Zyabirov ◽  
◽  
A.I. Zyabirov ◽  
Keyword(s):  
Technical Condition ◽  
Vibration Parameters

The article offers recommendations for monitoring the technical condition in terms of vibration parameters.

scholarly journals Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 319
Author(s):  
Diego A. Zaldivar ◽  
Andres A. Romero ◽  
Sergio R. Rivera
Keyword(s):  
Power Transformer ◽  
Critical Role ◽  
Technical Condition ◽  
Electric Power System ◽  
Assessment Model ◽  
Fuzzy Logic Algorithm ◽  
Inherent Risk ◽  
Importance Index ◽  
Utmost Care ◽  
System Power

In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the inherent risk during the operation of PT. However, most proposed methodologies tend to analyze PT as individuals and not as a fleet. A fleet assessment helps the asset manager make sound decisions regarding the maintenance scheduling for groups of PT with similar conditions. This paper proposes a new methodology to assess the risk of PT fleets, considering the technical condition and the strategic importance of the units. First, the state of the units was evaluated using a health index (HI) with a fuzzy logic algorithm. Then, the strategic importance of each unit was assessed using a weighting technique to obtain the importance index (II). Finally, the analyzed units with similar HI and II were arranged into a set of clusters using the k-means clustering technique. A fleet of 19 PTs was used to validate the proposed method. The obtained results are also provided to demonstrate the viability and feasibility of the assessment model.

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