Automatizing the detection of rotor failures in induction motors operated via soft-starters

George Georgoulas, Petros Karvelis, Chrysostomos D. Stylios, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Jesus Corral-Hernandez, Vicente Climente-Alarcon, George Nikolakopoulos

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

1 Citation (Scopus)

Abstract

Implementation of unsupervised induction motor condition monitoring systems has drawn an increasing attention recently among motor drives manufacturers. In the case of soft-starters the possibility of incorporating fault detection features to their conventional functions provides an added value to those elements. Design and development of advanced algorithms that are able to automatically detect and alert about possible failures without requiring continuous human inspection is a challenging research goal. In this paper, an algorithm for the automatic detection of rotor damages in induction motors in the case of soft starting is proposed. The twofold approach relies, first, on the application of a time-frequency transform to the starting current signal and, second, on a pattern recognition stage based on the treatment of the time-frequency representation as a symbolic sequence. The innovation of this work is the implementation of the proposed approach for the automatic detection of rotor cage faults in soft-started motors. The experimental results prove the usefulness of the approach for the automatic detection of such faults and its potential for possible future implementation in soft-started machines.

Original languageEnglish
Title of host publicationIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
Subtitle of host publicationProceedings
PublisherIEEE
Pages3743-3748
Number of pages6
ISBN (Print)9781479917624
DOIs
Publication statusPublished - 25 Jan 2016
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Yokohama, Japan
Duration: 9 Nov 201512 Nov 2015
Conference number: 41
http://iecon2015.com/

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryJapan
CityYokohama
Period09/11/201512/11/2015
Internet address

Keywords

  • boft starters
  • broken bar fault
  • symbolic time series analysis
  • time-frequency analysis

Fingerprint Dive into the research topics of 'Automatizing the detection of rotor failures in induction motors operated via soft-starters'. Together they form a unique fingerprint.

Cite this