Vibration-Based Identification of Mechanical Defects in Induction Motor-driven Systems During the Starting Transient

Byambasuren Battulga, Muhamad Faizan Shaikh, Taner Goktas, Muslum Arkan, Sang Bin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Vibration analysis is the most widely applied method for detecting mechanical faults such as load unbalance, misalignment, and looseness in induction motor driven systems. Most mechanical problems result in an increase in vibration at the rotor frequency (1x) making it difficult to identify the source of vibration for planning maintenance action. If the vibration level is excessive, a walk-around test is usually performed by the maintenance engineer to identify the source of vibration, exposing the maintenance personnel to safety risks. In this paper, a new remote, automated method for identifying the source of vibration during the starting transient of induction motors is proposed. The level and speed-dependency of vibration during rotor acceleration are used for identifying the cause of vibration. Experimental results on an induction motor under emulated mechanical defects are given to show the remote and automated capability of the proposed method for safe, low cost, and efficient maintenance.

Original languageEnglish
Title of host publication2024 International Conference on Electrical Machines, ICEM 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350370607
DOIs
Publication statusPublished - 2024
Event2024 International Conference on Electrical Machines, ICEM 2024 - Torino, Italy
Duration: 2024 Sept 12024 Sept 4

Publication series

Name2024 International Conference on Electrical Machines, ICEM 2024

Conference

Conference2024 International Conference on Electrical Machines, ICEM 2024
Country/TerritoryItaly
CityTorino
Period24/9/124/9/4

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Accelerometer
  • Fault diagnosis
  • Load unbalance
  • Looseness
  • Misalignment
  • Short time Fourier transform
  • Spectral analysis
  • Starting transient
  • Velocity
  • Vibration analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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