| 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
Brostilov Sergey Alexandrovich, 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@mail.ru
Lapshin Eduard Vladimirovich, doctor of technical sciences, professor, sub-department of radio equipment design and production, Penza State University (440026, 40 Krasnaya street, Penza, Russia), E-mail: kipra@mail.ru
Mikheev Mikhail Yuriyevich, doctor of technical sciences, professor, head of sub-department of informational technologies and systems, Penza State Technological University (440039, 1a/11 Baydukov passage/Gagarin street, Penza, Russia), E-mail: mix1959@gmail.com
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| Abstract |
Background. Currently, a promising technology for measuring vibration movement is rapidly developing, which is based on the comparison of structural descriptions of the same object – a round mark applied to the surface of the object under control – one of these descriptions is obtained by automated analysis of a clear image in the absence of vibration; the other – by automated analysis of a blurred image in the presence of vibration. The image is blurred by vibration on the original. The purpose of this article is to develop a methodology for finding a technical compromise between the field of view of the recording device, its resolution, the radius of the circular mark and the reduced error of the vibration displacement measurement system based on the analysis of the image blur of the circular mark.
Materials and methods. The article is based on the results of mathematical and field experiments conducted by the authors, materials of scientific publications in which these results are analyzed and generalized.
Results. A graph of the reduced error of measurement of vibration movement based on the analysis of the blur image of the circular mark as a function of the number of pixels belonging to this image. The technique of predicting the reduced error of measurement of vibration movement based on the analysis of the image blur of the round mark with the specified parameters of the recording device and the test object. A numerical example of determining the reduced measurement error for the following parameters is considered: the field of view of the recording device, its resolution, the radius of the round mark. A numerical example of determining the field of view of the recording device is considered for the following parameters: resolution of the recording device, the radius of the round mark, the permissible reduced measurement error.
Summary. The graph constructed in this article allows, given the number of pixels per image of the circular mark, to determine the reduced error of measurement of the vibration movement of the investigated point based on the analysis of the blur of this image. The same graph allows you to determine the number of pixels that should fall on the image of the round mark by specifying the required allowable reduced error of measurement of the vibration movement. The methods developed in this article establish a correspondence between the width of the field of view of the recording device, its format, the resolution of the recording device, the radius of the round mark and the reduced error of measurement of vibration movement. Given any four of these parameters, you can determine the remaining fifth.
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| Key words |
vibrational movement, blur, image, round label, matrix, reduced error, amplitude, applique, prediction, radius, format, pixel, raster, function, model
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