Application of the STFT for Detection of the Rotor Unbalance of a Servo-Drive System with an Elastic Interconnection-Reference-Cited by-同舟云学术

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

Published:2024-01-21 Issue:2 Volume:13 Page:441
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Ewert Pawel¹^ORCID,Wicher Bartłomiej²,Pajchrowski Tomasz²

Affiliation:

1. Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

2. Institute of Robotics and Machine Intelligence, Poznań University of Technology, ul. Piotrowo 3A, 60-965 Poznań, Poland

Abstract

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.

Publisher

MDPI AG

Link

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

Reference58 articles.

1. Wang, Z., Yang, J., Ye, H., and Zhou, W. (2014–3, January 31). A review of Permanent Magnet Synchronous Motor fault diagnosis. Proceedings of the 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China.

2. Krichen, M., Ben hadj, N., Chaeib, M., and Neji, R. (2017, January 22–24). Fault Detection and Diagnosis Methods in Permanent Magnet Synchronous Machines: A Review. Proceedings of the International Conference on Recent Advances in Electrical Systems, Hammamet, Tunisia.

3. Chen, Y., Liang, S., Li, W., Liang, H., and Wang, C. (2019). Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review. Appl. Sci., 9.

4. Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges;Wolkiewicz;IEEE Access,2022

5. Real-time diagnosis of three-phase induction machine using Arduino-Uno card based on park’s circle method;Boudiaf;Diagnostyka,2018