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When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
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Updated: Aug 13, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Broken Bar Fault Detection Using Taylor-Fourier Filters and Statistical Analysis.

Sarahi Aguayo-Tapia1, Gerardo Avalos-Almazan1, Jose de Jesus Rangel-Magdaleno1

  • 1Digital Systems Group, National Institute for Astrophysics, Optics and Electronics, Puebla 72840, Mexico.

Entropy (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

Early detection of broken rotor bars in induction motors is crucial. This study uses digital Taylor-Fourier transform (DTFT) on motor current signals for accurate, cost-effective fault identification and classification.

Keywords:
broken bardigital Taylor–Fourier transformfault detectioninduction motorstatistical analysisstator current

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Area of Science:

  • Electrical Engineering
  • Mechanical Engineering
  • Signal Processing

Background:

  • Broken rotor bars are a common and challenging fault in induction motors.
  • This damage leads to increased operational costs, energy consumption, and potential motor failure.
  • Current signal analysis is a key method for incipient fault detection.

Purpose of the Study:

  • To develop an early detection and classification method for broken rotor bars using motor current signals.
  • To implement a Digital Taylor-Fourier Transform (DTFT) for precise amplitude estimation and filtering.
  • To reduce computational load in fault detection using O-splines within the DTFT.

Main Methods:

  • Motor current signal analysis utilizing the Digital Taylor-Fourier Transform (DTFT).
  • Application of O-splines within DTFT to optimize computational efficiency.
  • Detection based on analysis of variance and Tukey test on estimated amplitude.
  • Testing with current signals from motors operating at 50% and 75% full load.

Main Results:

  • The DTFT method enables fine filtering and accurate amplitude estimation for incipient fault detection.
  • The proposed methodology effectively detects and classifies broken rotor bar damage.
  • Reduced computational load achieved through O-spline implementation of DTFT.
  • Successful analysis of current signals across different damage levels and load conditions.

Conclusions:

  • The DTFT-based motor current signal analysis provides an effective solution for early detection and classification of broken rotor bars.
  • This approach offers improved accuracy and reduced computational cost compared to existing methods.
  • The findings contribute to enhanced predictive maintenance strategies for induction motors.