Autors: Zhelyazkov, Y. K., Torlakov, I. D., Dimitrova, K. I.
Title: Prediction of Induction Motor Parameters Using a Neural Network
Keywords: deep learning, induction motor, MATLAB, neural network, optimization

Abstract: This study investigates an induction motor referenced in earlier research [1], focusing on the analysis of its primary characteristics and proposing a mechanism for predicting specific values utilizing a neural network. This study focuses on a feed-forward neural network model aimed at predicting specific parameters of the motor at a higher value of operating frequency, including voltage, current, speed, torque, power, and force, utilizing the measured and visualized values referenced in [1]. The anticipated outcomes of the examined characteristics are displayed, indicating minimal divergence of mean squared error (MSE) is less than 1% from the actual measurements following the training of the proposed neural network.

References

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Issue

60th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2025 - Proceedings, 2025, Macedonia, https://doi.org/10.1109/ICEST66328.2025.11098406

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus