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Broken Rotor Bar Detection in Induction Motors through Contrast Estimation.

Edna Rocio Ferrucho-Alvarez1, Ana Laura Martinez-Herrera1, Eduardo Cabal-Yepez1

  • 1Department of Multidisciplinary Studies, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Av. Universidad S/N, Yacatitas, Yuriria 38944, Mexico.

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|November 27, 2021
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Summary

This study introduces a new method for detecting broken rotor bars (BRBs) in induction motors (IM) during steady-state operation using motor current signal analysis. The novel approach effectively identifies healthy, one broken bar, or two broken bars conditions with high certainty.

Keywords:
broken rotor barscontrast estimationfault diagnosisfuzzy logicinduction motorssteady state

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Area of Science:

  • Electrical Engineering
  • Industrial Monitoring
  • Fault Diagnosis

Background:

  • Induction motors (IM) are critical industrial components requiring continuous monitoring for fault detection.
  • Broken rotor bars (BRBs) are common but challenging faults to detect, often necessitating specialized techniques.
  • Existing fault detection methods primarily focus on the IM startup transient, limiting their applicability.

Purpose of the Study:

  • To develop an efficient fault detection technique for induction motors operating in a steady state.
  • To introduce a novel methodology for identifying broken rotor bars (BRBs) using motor current signal analysis.
  • To adapt contrast estimation, typically used in image processing, for diagnosing IM conditions.

Main Methods:

  • Motor current signal analysis was employed to diagnose the condition of induction motors.
  • Contrast estimation, specifically Unser and Tamura definitions, was applied to motor current signals.
  • The methodology was tested for detecting healthy, one broken bar (1BB), and two broken bars (2BB) conditions.

Main Results:

  • The proposed methodology successfully identified and classified IM operational conditions during steady state.
  • Unser and Tamura contrast definitions proved to be effective indicators for fault diagnosis.
  • High certainty was achieved in distinguishing between healthy, 1BB, and 2BB states.

Conclusions:

  • The novel methodology offers a reliable approach for detecting broken rotor bars in induction motors during steady-state operation.
  • Contrast estimation presents a viable, previously unexplored tool for induction motor fault diagnosis.
  • This technique enhances the ability to monitor industrial processes and prevent production interruptions.