UDC 621.382.049
APPLICATION OF THE ALLAN VARIATION METHOD TO STUDY LOW-FREQUENCY NOISE MAGNETICALLY CONTROLLED CONTACTS
D. S. Loginov, post-graduate student, Micro- and Nanoelectronics Department, RSREU, Ryazan, Russia;
orcid.org/0003-0000-0411-7540, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
T. A. Kholomina, Dr. Sc. (Phys. and Math.), professor, Micro- and Nanoelectronics Department, RSREU, Ryazan, Russia;
orcid.org/0000-0003-3902-618X, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. G. Litvinov, Dr. Sc. (Phys. and Math.), Head of the Department, Micro- and Nanoelectronics Department, RSREU, Ryazan, Russia; orcid.org/0000-0001-6122-8525, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. V. Xendzov, Ph.D. (Tech.), associate professor, Radio Engineering Devices Department, RSREU, Ryazan, Russia;
orcid.org/0009-0009-6253-3842, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The results of applying Allan variation method to the study of low-frequency noise spectra of lowimpedance electronic equipment objects are presented. The results obtained in the work allow us to assert that in a limited frequency range, which takes place in practice, the process of generating low-frequency noise can be considered stationary with the possibility of applying appropriate methods of processing the results. Using Allan variation method in conjunction with the Fourier transform, it is possible to obtain more complete information about the object under study. It is shown that rapid diagnostics using low-frequency noise spectroscopy with a duration of less than 5 minutes allows obtaining information about the object under study with the reliability of at least 90 % compared to longer diagnostics.The aim of this work is to apply Allan variation (deviation) method to the study of low-frequency noise spectra of low-resistance electronic equipment objects and to identify the conditions under which noise exhibits the properties of random stationary process.
Key words: : : low-frequency noise, Allan variation, measuring unit, spectral power density.