Determination of Spectral Characteristics in a Vibration Sensor Microcircuit
Grigoryev Anatoly1, Korolev Andrey2, Lebedev Sergey3, Sinyutin Sergey4, Skvortsov Dmitry5
1Grigoryev Anatoly*, Managing Director of Sens Fab, LLC
2Korolev Andrey, JSC, Zelenograd Nano Technology Center.
3Lebedev Sergey, National Research University of Electronic Technology (MIET)
4Sinyutin Sergey, Director of Institute of Radio Engineering Systems and Control of Southern Federal University.
5Skvortsov Dmitry, Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN) and Diamech, LLC
Manuscript received on December 16, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 2044-2050 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8834019320/2020©BEIESP | DOI: 10.35940/ijitee.C8834.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article discusses aspects of the implementation of digital signal processing algorithms in devices with multifunctional diagnostics of bearing assemblies in integrated-circuit form. The possibility of applying the effective implementation of spectral analysis algorithms on a defined basis is considered. The structural flow chart of the filter which performs Goertzel transformation and schemes for implementation of the fast Fourier transform unit is shown. To solve these problems in Matlab environment were developed mathematical models of Goertzel filter of fast Fourier transform unit was simulated operation of these units for specifying of parameters and evaluation of achieved characteristics. After the evaluation of simulation results, 2 types of spectral analysis units were developed: Goertzel transformation units for accurate calculations and fast Fourier transform units for analysis during the whole operating band. The created units of spectral analysis make it possible to efficiently solve the problems of bearing diagnostics, obtain information on the video spectrum of the vibration signal in the full frequency band and at the same time to determine the exact value or vibration levels at the characteristic frequencies.
Keywords: Vibration diagnostics, Goertzel algorithm, FFT, CORDIC Algorithm, Custom-designed Chips. Vibrodiagnostic, Vibration Diagnostic, Goertzel Algorithm, CORDIC, FFT, ASIC.
Scope of the Article: Algorithm Engineering