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Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

Educational Research Center for Digital Technologies, Saint Petersburg Mining University, 191106 Saint Petersburg, Russia
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Energies 2021, 14(20), 6677; https://doi.org/10.3390/en14206677
Received: 12 August 2021 / Revised: 4 October 2021 / Accepted: 9 October 2021 / Published: 14 October 2021
(This article belongs to the Section A: Electrical Engineering)
The paper discusses the method of identifying the technical condition of induction motors by classifying the energy data coming from the main common power bus. The work shows the simulation results of induction motor operation. The correlation between occurring defects and current diagrams is presented. The developed simulation model is demonstrated. The general algorithm for conducting experiments is described. Five different experiments to develop an algorithm for the classification are conducted: determination of the motors number in operation with different power; determination of the motors number in operation with equal power; determination of the mode and load of induction electric motor; determination of the fault and its magnitude with regard to operation and load of induction motor; determination of the fault and its magnitude with regard to operation and load of induction motor with regard to non-linear load in the flow. The article also presents an algorithm for preprocessing data to solve the classification problem. In addition, the classification results are shown and recommendations for testing and using the classification algorithm on a real object are made. View Full-Text
Keywords: classification algorithm; induction electric motor; simulation model; the coefficient of electromagnetic momentum ripple; current harmonic distortion factor classification algorithm; induction electric motor; simulation model; the coefficient of electromagnetic momentum ripple; current harmonic distortion factor
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MDPI and ACS Style

Koteleva, N.I.; Korolev, N.A.; Zhukovskiy, Y.L. Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow. Energies 2021, 14, 6677. https://doi.org/10.3390/en14206677

AMA Style

Koteleva NI, Korolev NA, Zhukovskiy YL. Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow. Energies. 2021; 14(20):6677. https://doi.org/10.3390/en14206677

Chicago/Turabian Style

Koteleva, N. I., N. A. Korolev, and Y. L. Zhukovskiy 2021. "Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow" Energies 14, no. 20: 6677. https://doi.org/10.3390/en14206677

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