The low voltage start-up test of induction motor for the detection of broken bars

B. Asad, T. Vaimann, A. Belahcen, A. Kallaste, A. Rassõlkin, H. Heidari

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)
92 Downloads (Pure)


This paper presents the broken rotor bar fault diagnostics by time-frequency analysis of motor current under extended startup transient time achieved by reducing the applied voltage. The fault diagnostics under a steady stage regime has been a topic of interest since the past few decades. The main aim has been focused on the detection of fault-based frequencies which are the function of slip. Those frequencies become very less legible under low load conditions and totally disappear under no-load conditions. Moreover, the stator and rotor slot skews have a potential attenuation impact on them. To avoid these problems, the time-frequency analysis of motor startup current is investigated in this paper using a wavelet approach. To improve the legibility of the spectrum, the transient time is extended by reducing the supply voltage of the machine under no external load. By reducing the supply voltage, the inertia of the rotor acts as a load to increase the transient time which is essential for better resolution. The results are based on the practical measurements taken from the laboratory setup under healthy and faulty conditions.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Electrical Machines, ICEM 2020
Number of pages7
ISBN (Electronic)9781728199450
Publication statusPublished - 23 Aug 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Electrical Machines - Virtual, Online
Duration: 23 Aug 202026 Aug 2020
Conference number: 25

Publication series

NameProceedings (International Conference on Electrical Machines)
ISSN (Print)2381-4802
ISSN (Electronic)2473-2087


ConferenceInternational Conference on Electrical Machines
Abbreviated titleICEM
CityVirtual, Online
OtherVirtual Conference


  • Condition monitoring
  • Fault diagnosis
  • Fourier transforms
  • Induction motors
  • Wavelet transforms


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