Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection

Paweł Ewert; Bartłomiej Wicher; Tomasz Pajchrowski

doi:10.3390/electronics13020441

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Title

Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection

Authors

Paweł Ewert
Bartłomiej Wicher (WARiE) ^{[ 1 ][ P ]}
Tomasz Pajchrowski (WARiE) ^{[ 1 ][ 2.2 ][ P ]}

^{[ 1 ]} Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication

2024

Published in

Electronics

Journal year: 2024 | Journal volume: vol. 13 | Journal number: iss. 2

Article type

scientific article

Publication language

english

Keywords

EN

rotor unbalance
diagnostics
two-mass system
short-time Fourier transform STFT
neural network

Abstract

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.

Date of online publication

21.01.2024

Pages (from - to)

441-1 - 441-19

DOI

10.3390/electronics13020441

URL

https://www.mdpi.com/2079-9292/13/2/441

Comments

Article number: 441

License type

CC BY (attribution alone)