Evaluation of the detectability of electromechanical faults in induction motors via transient analysis of the stray flux

Juan Angel Ramirez-Nunez, Jose Antonino-Daviu, Vicente Climente-Alarcon, Alfredo Quijano-Lopez, Hubert Razik, Roque A. Osornio-Rios, Rene J. Romero-Troncoso

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)
175 Downloads (Pure)


The stray flux that is present in the vicinity of an induction motor is a very interesting information source to detect several types of failures in these machines. The analysis of this quantity can be employed, in some cases, as a supportive tool to complement the diagnosis provided by other quantities. In other cases, when no other motor quantities are available, stray flux analysis can become one of the few alternatives to evaluate the motor condition. Its non-invasive nature, low cost and easy implementation makes it a very interesting option that requires further investigation. The aim of this work is to evaluate the suitability of the stray flux analysis under the starting transient as a way to detect certain faults in induction motors (broken rotor bars and misalignments), even when these types of faults coexist in the motor. To this end, advanced signal processing tools will be applied. Several positions of the flux sensors are considered in this study. Also, for the first time, a fault indicator based on the stray flux analysis under the starting is introduced and its sensitivity is compared versus other indicators relying on other quantities. It must be emphasized that, since the capture of the transient and steady-state flux signals can be carried out in the same measurement, the application of the approach presented in this work is straightforward and its derived information may become crucial for the diagnosis of some faults.

Original languageEnglish
Pages (from-to)4324 - 4332
Number of pages9
JournalIEEE Transactions on Industry Applications
Issue number5
Early online date1 Jun 2018
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed


  • fault diagnosis
  • induction motor
  • misalignment
  • rotor faults
  • transient analysis
  • wavelet transforms

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