| Authors |
Grigoriev Alexey Valeryevich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: a_grigorev@mail.ru
Lysenko Alexey Vladimirovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: lysenko_av@bk.ru
Tankov Georgiy Vasilievich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: kipra@pnzgu.ru
Naumova Irina Yurievna, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: ira.ipvla@yandex.ru
Yurkov Nikolay Kondrat'evich, doctor of technical sciences, professor, head of sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: yurkov_NK@mail.ru
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| Abstract |
Background. Vibration diagnostics of machines and mechanisms, buildings and structures, electronic equipment is a very popular method of detecting defects in their latent phase, when they do not significantly affect the operation of the equipment. Currently, a promising cost-effective and informative vibration measurement technology is rapidly developing, which is based on the analysis of blurring the image of a round mark or a matrix of round marks applied to the surface of the object under control. The purpose of this article is to study the calibration characteristics of the vibration measurement system with the analysis of the image blur of the round mark.
Materials and methods. The article examines the materials obtained by the authors in the course of full-scale experiment. Methods of linear approximation and regression analysis are used to process the results.
Results. The real images of the round mark are obtained: clear, in the absence of vibration, and with blurring from the vibration movement on the applique. The experimental calibration characteristic of the vibration measuring system with the analysis of the image blur of the round mark is obtained. The real regression model of this calibration characteristic is constructed and its linearity is proved.
Summary. It is experimentally proved that during the vibration movement of the test point of the surface of the object under control, a significant blurring of the image of the round mark, in the geometric center of which this point is located, is observed. The obtained experimental calibration characteristic of the real vibration measuring system with the analysis of blurring of the image of the round mark allows to calculate the amplitude of the vibration movement of the material point on the applicate on the basis of the increment of the radius of the image of the round mark caused by it. The linearity of the calibration characteristic of the vibration measuring system with the analysis of the image blur of the round mark is experimentally proved. The resulting linear regression model will create a technique for predicting the reduced error of the vibration measurement system with the analysis of the blur of the image of the round mark on the basis of a given number of pixels falling on this image.
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| Key words |
vibration, round mark, blur, measurement, calibration, displacement, amplitude, applique, error, approximation, regression, raster, pixel, image, prediction, model
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