Bulletin of the Polish Academy of Sciences: Technical Sciences (Jan 2024)

Fault diagnosis of electrical faults of three-phasei nduction motors using acoustic analysis

  • Adam Glowacz,
  • Maciej Sulowicz,
  • Jarosław Kozik,
  • Krzysztof Piech,
  • Witold Glowacz,
  • Zhixiong Li,
  • Frantisek Brumercik,
  • Miroslav Gutten,
  • Daniel Korenciak,
  • Anil Kumar,
  • Guilherme Beraldi Lucas,
  • Muhammad Irfan,
  • Wahyu Caesarendra,
  • Hui Lui

DOI
https://doi.org/10.24425/bpasts.2024.148440
Journal volume & issue
Vol. 72, no. 1

Abstract

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Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications.

Keywords