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Low-Parameter Critic-Based Multivariate WGAN Model for Clogging Detection in Drives Cover

Low-Parameter Critic-Based Multivariate WGAN Model for Clogging Detection in Drives

Power Electronics and Drives
Volume 10 (2025): Issue 1 (January 2025)
By: Artur Dawid Surówka,  Marcin Kosiba,  Teemu Mikkelä,  Asko Kavala and  Marcin Firla  
Open Access
|May 2025

Authors

Artur Dawid Surówka

artur.surowka@pl.abb.com

Corporate Technology Center, ABB Sp. z o.o. Kraków, Poland

Marcin Kosiba

Corporate Technology Center, ABB Sp. z o.o. Kraków, Poland

Teemu Mikkelä

Cadmatic Oy, Kouvola, Finland

Asko Kavala

Motion Services, ABB Oy, Lappeenranta, Finland

Marcin Firla

Corporate Technology Center, ABB Sp. z o.o. Kraków, Poland
DOI: https://doi.org/10.2478/pead-2025-0008 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 125 - 139
Submitted on: Feb 26, 2025
|
Accepted on: Apr 17, 2025
|
Published on: May 17, 2025
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
variable frequency drives,
generative adversarial networks,
condition monitoring,
machine learning,
anomaly detection
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2025 Artur Dawid Surówka, Marcin Kosiba, Teemu Mikkelä, Asko Kavala, Marcin Firla, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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