Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection
[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] pracownik
[2.2] Automatyka, elektronika, elektrotechnika i technologie kosmiczne
2024
artykuł naukowy
angielski
- rotor unbalance
- diagnostics
- two-mass system
- short-time Fourier transform STFT
- neural network
EN The article focuses on the use of short-time Fourier transform (STFT) to detect the unbalance of a drive with a flexible connection between the driving machine and the load. The authors present the unbalance model and justify, through subsequent experiments, why the STFT-based approach is appropriate. The effectiveness of the presented method of analyzing signals from acceleration sensors was confirmed experimentally by designing an artificial neural network for detecting the unbalance.
21.01.2024
441-1 - 441-19
Article number: 441
CC BY (uznanie autorstwa)
otwarte czasopismo
ostateczna wersja opublikowana
21.01.2024
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