Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Development of a Model for Detecting the State of Instability of the Mechanical Part of a Synchronous Electric Drive System Operating with a Dynamic Load Using an Artificial Neural Network

Version 1 : Received: 26 October 2023 / Approved: 27 October 2023 / Online: 27 October 2023 (04:55:14 CEST)

How to cite: Baghdasaryan, M.K.K.; Hovhannisyan, V. Development of a Model for Detecting the State of Instability of the Mechanical Part of a Synchronous Electric Drive System Operating with a Dynamic Load Using an Artificial Neural Network. Preprints 2023, 2023101754. https://doi.org/10.20944/preprints202310.1754.v1 Baghdasaryan, M.K.K.; Hovhannisyan, V. Development of a Model for Detecting the State of Instability of the Mechanical Part of a Synchronous Electric Drive System Operating with a Dynamic Load Using an Artificial Neural Network. Preprints 2023, 2023101754. https://doi.org/10.20944/preprints202310.1754.v1

Abstract

Keywords: Аrtificial neural network, electric drive system, database, stability, training algorithm, technological mechanisms.

Keywords

аrtificial neural network; electric drive system; database; stability; training algorithm; technological mechanisms

Subject

Engineering, Electrical and Electronic Engineering

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