Diagnostics and predictive maintenance of industrial electric motors
Abstract
Automatic continuous or periodic control is the most promising method of diagnosing electric motors in
production nowadays. It is aimed at predicting breakdowns and the remaining useful lifetime of motors.
However, research in this area remains purely theoretical and eitherfocuses on very narrow problems or
provides too superficial overview. Consequently,manual control devices or partially automated devices are
mainly used in practice [1]. In view of this, there is great interest in the development of a software method for
predictive maintenance of electric motors. In this research recurrent neural networks with long short-term
memory layers (LSTM-layers) are investigated due to their ability to effectively model sequential data and
learn complex dependencies [2].
References
Rynok elektrodvyhuniv, reduktoriv i generatoriv v Ukrayini: na porozi novoyi elektrifikatsiyi. Analiz rynku. Pro-Consulting. URL: https://pro-consulting.ua/ua/pressroom/rynok-elektrodvigatelej-reduktorov-i generatorov-v-ukraine-na-poroge-novoj-elektrifikacii.
Yatsun A.M., Yatsun M.A. Ekspuatatsiya ta diagnostuvannya elektrychnykh mashyn i aparativ: Navch. posibnyk. - Lviv: Vydavnytstvo Natsionalnoho universytetu "Lvivska politekhnika", 2010. - 228 s.
Ukraine. How much does it weigh in the e-motor world? - Electric Motor Engineering. Electric Motor Engineering. URL: https://www.electricmotorengineering.com/ukraine-how-much-does-it-weigh-in-the-e motor-world/.
Predictive Maintenance Market Size Global Report, 2022 - 2030. Polaris. URL:https://www.polarismarketresearch.com/industry-analysis/predictive-maintenance-market.
Predictive Maintenance Market: The Evolution from Niche Topic to High ROI Application. IoT Analytics. URL: https://iot-analytics.com/predictive-maintenance-market-evolution-from-niche-topic-to-high-roi application/.
Salonen A., Deleryd M. Cost of poor maintenance. Journal of Quality in Maintenance Engineering. 2011. https://doi.org/10.1108/13552511111116259
Holbert K.E., Lin K., Karady G.G. Enhancement of electric motor reliability through condition monitoring. IFAC Proceedings Volumes. 2006. T.39, №7. S.255-260. URL: https://doi.org/10.3182/20060625-4-ca 2906.00049.
Methods of Condition Monitoring and Fault Detection for Electrical Machines / K. Kudelina ta in. Energies. 2021. T.14, №22. S.7459. URL: https://doi.org/10.3390/en14227459.
Copyright (c) 2023 Христина Висоцька, Віталій Павлюк, Адріан Наконечний, Михайло Веселовський (Автор)

This work is licensed under a Creative Commons Attribution 4.0 International License.