Broken Rotor Bar Detection in Three-phase Induction Motor Based on Multinomial Identity of Stator Current

Articles in Press

Document Type : Article

Authors

1 Department of Electrical Engineering, Shiraz University of Technology, Modares Blvd., Shiraz, Iran, Postcode: 71555- 13876

2 Universite de Lorraine-GREEN, 54000 Nancy, France

10.24200/sci.2025.64302.8861

Abstract

Motor current signature analysis is cited in many articles to detect the rotor bar fracture. Because of the small amplitude at the fault frequency relative to the main frequency amplitude, the former cannot be easily distinguished from the latter. As a solution, a method based on the algebraic identity of trinomial expansion of the stator current is proposed which enables us to display the difference between the frequency of the fault signature and the base frequency. In addition, the components at unwanted frequencies are attenuated using low-pass-filter. After that, the frequency weighting techniques are used to magnify the component at the target frequency compared to the lower frequencies than it. Indeed, a weighting method based on differentiation is used and another method based on convolution is proposed as tools to enhance the clarity of the frequency spectrum display for a broken rotor bar. To validate the proposed methods, they are examined on the laboratory data obtained from three different operating conditions including the direct online start, the direct torque control, and the scalar control and the results show the ability of the proposed methods in fault detection of an induction motor.

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Scientia Iranica

Articles in Press, Accepted Manuscript
Available Online from 12 January 2025

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History

  • Receive Date: 15 March 2024
  • Revise Date: 27 September 2024
  • Accept Date: 12 January 2025

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