METHOD FOR VIBRATION DIAGNOSTICS FOR DETECTING INCIPIENT DEFECTS OF INDUSTRIAL EQUIPMENT Russian patent published in 2022 - IPC G01M13/04 

Abstract RU 2783616 C1

FIELD: diagnostic equipment.

SUBSTANCE: invention relates to vibration diagnostics of industrial equipment and can be applied to vibration diagnostics of working industrial mechanisms (bearings, pumps, gearboxes, electric motors and other rotary mechanisms). The method consists in measuring vibration accelerations and converting them into direct auto power spectra and envelope spectra of the high-frequency component of vibration acceleration signals, highlighting local maxima in them and comparing them with maxima on predefined reference auto power spectra and envelope spectra, the formation of reference auto power spectra and envelope spectra of vibration signals is carried out by determining a set of frequencies corresponding to each defect. At the stage of vibration diagnostics, the presence of a defect is judged by the correspondence of the local maxima and reference sets of frequencies allocated on the spectra, the change in the frequency set, the characteristics of the vibration acceleration spectra and the number of defects is made by additionally introduced external software modules without changing the main software.

EFFECT: obtaining more output data by varying the initial parameters during signal processing.

1 cl, 2 dwg

Similar patents RU2783616C1

Title Year Author Number
METHOD FOR VIBRATION DIAGNOSTICS FOR DETERMINING THE DEGREE AND SPEED OF DEVELOPMENT OF NEARING DEFECTS IN INDUSTRIAL EQUIPMENT 2022
  • Shatokhin Andrei Viktorovich
  • Sivachev Dmitrii Aleksandrovich
  • Tanaev Maksim Stanislavovich
  • Kirpichev Aleksei Aleksandrovich
RU2774697C1
METHOD OF VIBRODIAGNOSTICS OF NASCENT DEFECTS OF MECHANISMS 2018
  • Davydov Vladimir Sergeevich
  • Steblyanko Denis Valerevich
RU2680640C1
METHOD FOR VIBRATION DIAGNOSTICS OF THE OCCURRENCE OF INCIPIENT DEFECTS IN INDIVIDUAL NODES OF MECHANISMS 2021
  • Davydov Vladimir Sergeevich
  • Steblyanko Denis Valerevich
RU2769919C1
METHOD OF DIAGNOSING TECHNICAL CONDITION OF ROLLING BEARINGS IN REAL TIME 2024
  • Kodirov Shakhboz Sharifovich
  • Shestakov Aleksandr Leonidovich
RU2826382C1
METHOD FOR MONITORING THE TECHNICAL CONDITION OF MECHANISMS 2021
  • Grigorev Aleksei Valerevich
  • Kochegarov Igor Ivanovich
  • Iurkov Nikolai Kondratevich
  • Reuta Nikita Sergeevich
RU2765336C1
METHOD FOR VIBRATION DIAGNOSTICS OF DC ELECTRIC MOTORS USING THE WAVELET ANALYSIS METHOD 2021
  • Sennoj Nikolaj Nikolaevich
  • Tsvetkov Pavel Nikolaevich
  • Kazarinov Aleksandr Nikolaevich
  • Babintsev Egor Viktorovich
  • Shevelev Gennadij Mikhajlovich
RU2769990C1
METHOD FOR MONITORING THE TECHNICAL STATE OF MECHANISMS 2019
  • Grigorev Aleksej Valerevich
  • Kochegarov Igor Ivanovich
  • Yurkov Nikolaj Kondratevich
RU2726270C1
VIBRATION DIAGNOSTIC METHOD OF GAS TURBINE ENGINE 2015
  • Tyapkin Sergej Aleksandrovich
RU2688340C2
METHOD TO DIAGNOSE HEALTH OF GAS TURBINE ENGINE ASSEMBLY UNITS AND PARTS AND DEVICE TO THIS END 2007
  • Ushakov Andrej Pavlovich
  • Tvaradze Sergej Viktorovich
  • Antonov Konstantin Viktorovich
  • Zotov Vadim Vladimirovich
  • Bajkov Aleksandr Evgen'Evich
RU2379645C2
METHOD FOR VIBRATION DIAGNOSTICS OF TECHNICAL CONDITION OF GAS TURBINE ENGINES IN RESOURCE-SAVING MODES USING THEORY OF INVARIANTS 2020
  • Shigapov Ilyas Ilgizovich
  • Popov Nikolaj Nikolaevich
  • Kazarinov Aleksandr Nikolaevich
  • Sennoj Nikolaj Nikolaevich
  • Sokolov Anton Grigorevich
  • Golubev Konstantin Gennadevich
RU2754479C1

RU 2 783 616 C1

Authors

Shatokhin Andrei Viktorovich

Sivachev Dmitrii Aleksandrovich

Tanaev Maksim Stanislavovich

Kirpichev Aleksei Aleksandrovich

Dates

2022-11-15Published

2021-10-19Filed