2021 International Conference on Electrotechnical Complexes and Systems (ICOECS) 2021
DOI: 10.1109/icoecs52783.2021.9657352
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Vibration diagnostics of induction motors

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Cited by 3 publications
(6 citation statements)
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“…Damage to the bearings (12%) leads to the appearance of vibration and, over time, to the engagement of the rotor in the stator, resulting in damage to the rotor and stator with the closure of the active steel sheets of the magnetic circuit of these elements, which completely removes the electric motor from the working state [12][13][14]. Monitoring the condition of the bearings contributes to the timely detection of damage to the bearings and the prevention of an emergency stop of the electric motor.…”
Section: Development Of the Structural Diagram Of The Diagnostics Sys...mentioning
confidence: 99%
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“…Damage to the bearings (12%) leads to the appearance of vibration and, over time, to the engagement of the rotor in the stator, resulting in damage to the rotor and stator with the closure of the active steel sheets of the magnetic circuit of these elements, which completely removes the electric motor from the working state [12][13][14]. Monitoring the condition of the bearings contributes to the timely detection of damage to the bearings and the prevention of an emergency stop of the electric motor.…”
Section: Development Of the Structural Diagram Of The Diagnostics Sys...mentioning
confidence: 99%
“…When using vibration diagnostic methods, the presence and degree of damage in an inductions motor are determined by methods of spectral analysis of vibration signals [13,14]. Spectra of vibration signals can be used to determine with sufficient accuracy the type and nature of damage, which requires the presence of special sensors.…”
Section: Development Of the Structural Diagram Of The Module For Moni...mentioning
confidence: 99%
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“…In recent years, vibration diagnostics, which is one of the main methods of non-destructive testing, is considered the most common and effective method for determining the technical condition of electric motor elements [7,8]. Using this method, it is possible to control equipment, diagnose malfunctions, predict the further development of equipment malfunctions and the period of uptime.…”
Section: Introductionmentioning
confidence: 99%