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Reference Signal Injection in Induction Motors Drives to Electrical Failures Detection

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Abstract

This paper shows an alternative method to electrical fault diagnosis in three-phase induction motors using reference signal injection. The proposal is based on the insertion of search reference harmonic signals in the supply voltage by the frequency inverter module of the induction machine and the observation of the signals of the electric current of the motor, preprocessed through the FFT and machine signature component analysis. In order to obtain a greater precision of fault classification and state of degradation through intelligent systems, results are validated by different algorithms whose performance are compared in the following methods: k nearest neighbors, naive Bayes, support vector machine, multilayer perceptron and decision tree. The practical results for the tests with controlled simulation of the electrical faults of broken rotor bars and short circuit in stator windings show the capacity that this insertion technique has when it is used as a tool to diagnose three-phase induction motors. The five proposals of intelligent systems result in a classification with success rates of \(93\%\) to \(100\%\) in different classes, separated into types of faults and according to the degradation intensity.

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Acknowledgements

The authors gratefully acknowledge the contributions of CNPq (Processes 474290/2008-5, 473576/2011-2, 552269/2011-5, and 405228/2016-3), Fundação Araucária (Process 06/56093-3) and FAPESP (Process 2011/17610-0).

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Authors and Affiliations

  1. Federal Institute of Paraná, Assis Chateaubriand, 475 Av. Cívica, Assis Chateaubriand, Paraná, Brazil

    Wylliam Salviano Gongora & Tiago Henrique dos Santos

  2. Department of Electrical Engineering, São Carlos School of Engineering, University of São Paulo, 400 Av. Trabalhador São Carlense, São Carlos, São Paulo, Brazil

    Ivan Nunes da Silva

  3. Federal Technological University of Paraná, Cornélio Procópio, 1640 Av., Alberto Carazzai, Cornélio Procópio, Paraná, Brazil

    Alessandro Goedtel & Marcelo Favoretto Castoldi

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  1. Wylliam Salviano Gongora
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  2. Ivan Nunes da Silva
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  3. Alessandro Goedtel
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  4. Marcelo Favoretto Castoldi
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  5. Tiago Henrique dos Santos
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Correspondence to Alessandro Goedtel.

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Gongora, W.S., da Silva, I.N., Goedtel, A. et al. Reference Signal Injection in Induction Motors Drives to Electrical Failures Detection. J Control Autom Electr Syst 30, 242–252 (2019). https://doi.org/10.1007/s40313-019-00442-5

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  • DOI: https://doi.org/10.1007/s40313-019-00442-5

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