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Three-phase induction motor fault identification using optimization algorithms and intelligent systems

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Abstract

The present work proposes the study and development of a strategy that uses an optimization algorithm combined with pattern classifiers to identify short-circuit stator failures, broken rotor bars and bearing wear in three-phase induction motors, using voltage, current, and speed signals. The Differential Evolution, Particle Swarm Optimization, and Simulated Annealing algorithms are used to estimate the electrical parameters of the induction motor through the equivalent electrical circuit and the failure identification arises by variation of these parameters with the evolution of each fault. The classification of each type of failure is tested using Artificial Neural Network, Support Vector Machine and k-Nearest Neighbor. The database used for this work was obtained through laboratory experiments performed with 1-HP and 2-HP line-connected motors, under mechanical load variation and unbalanced voltage.

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Acknowledgements

Authors would like to thank the financial support of the National Council for Scientific and Technological Development (CNPq) under Grant 474290/2008-3, 473576/2011-2, 552269/2011-5, 307220/2016-8.

Funding

This study was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (Grant nos. 474290/2008-3, 473576/2011-2, 552269/2011-5, 307220/2016-8).

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Author notes

  1. Jacqueline Jordan Guedes, Alessandro Goedtel, Marcelo Favoretto Castoldi, Danilo Sipoli Sanches, Paulo José Amaral Serni, Agnes Fernanda Ferreira Rezende, Gustavo Henrique Bazan and Wesley Angelino de Souza contributed equally to this work.

Authors and Affiliations

  1. Electrical Engineering Department, Federal University of Technology-Paraná, Av. Alberto Carazzai, 1640, Cornélio Procópio, Paraná, 86300-000, Brazil

    Jacqueline Jordan Guedes, Alessandro Goedtel, Marcelo Favoretto Castoldi, Danilo Sipoli Sanches, Agnes Fernanda Ferreira Rezende & Wesley Angelino de Souza

  2. Electrical Engineering Department, São Paulo State University, Av. Eng. Luís Edmundo Carrijo Coube, 14-01, Bauru, São Paulo, 17033-360, Brazil

    Paulo José Amaral Serni

  3. Department of Industrial Process Control, Federal Institute of Paraná, Av. Doutor Tito, s/n, Jacarezinho, Paraná, 86400-000, Brazil

    Gustavo Henrique Bazan

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  1. Jacqueline Jordan Guedes
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Correspondence to Gustavo Henrique Bazan.

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Guedes, J.J., Goedtel, A., Castoldi, M.F. et al. Three-phase induction motor fault identification using optimization algorithms and intelligent systems. Soft Comput (2024). https://doi.org/10.1007/s00500-023-09519-5

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