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Updated: Jun 7, 2025

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Localized Bearing Fault Analysis for Different Induction Machine Start-Up Modes via Vibration Time-Frequency Envelope

Jose E Ruiz-Sarrio1, Jose A Antonino-Daviu1, Claudia Martis2

  • 1Instituto Tecnológico de la Energía (ITE), Universitat Politècnica de València (UPV), 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
Summary
This summary is machine-generated.

This study shows how to detect early bearing defects in induction motors using vibration analysis. It enhances fault detection during motor start-up and steady-state, even with small defects.

Keywords:
AC machinesbearingfault diagnosisvibration

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Area of Science:

  • Mechanical Engineering
  • Electrical Engineering
  • Condition Monitoring

Background:

  • Bearings are critical components in low-voltage induction motors and are prone to mechanical faults.
  • Vibration monitoring is a standard method for diagnosing mechanical issues in rotating machinery, including bearing defects.
  • Analyzing bearing faults during motor transient conditions can improve traditional fault detection methods.

Purpose of the Study:

  • To analyze low-frequency localized bearing fault signatures in inner and outer races.
  • To investigate these signatures during start-up and steady-state operations.
  • To assess performance in both inverter-fed and line-started induction motors.

Main Methods:

  • Utilized vibration envelope spectrum analysis in the time-frequency domain.
  • Employed a resampling-free Short Time Fourier Transform (STFT) and band-pass filtering.
  • Acquired vibration data radially from the motor housing under various load conditions.
  • Examined the impact of two different localized defect sizes.

Main Results:

  • Successfully identified low-frequency characteristic fault frequencies related to localized bearing defects.
  • Demonstrated the detection of bearing defects during both transient (start-up) and steady-state operations.
  • Confirmed the feasibility of detecting defects across different motor actuation modes (inverter-fed and line-started).

Conclusions:

  • The proposed vibration analysis technique is effective for early-stage detection of localized bearing defects.
  • The method is robust across various operating conditions, load points, and motor types.
  • This approach enhances classic fault detection, offering valuable diagnostic capabilities for induction motors.