Detection of rotor faults via transient analysis of the external magnetic field

Jose Antonino-Daviu, Hubert Razik, Alfredo Quijano-Lopez, Vicente Climente-Alarcon

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

12 Citations (Scopus)

Abstract

Electric motors condition monitoring is an area that is living a continuous dynamism. There is a strong effort in the search of new, reliable techniques that are able to detect different types of failures and that overcome the drawbacks of the currently available methods. In this regard, vibration and current data analysis are well known techniques that have shown satisfactory results for the detection of certain failures. However, these techniques do not avoid some problems, such as their occasional false indications, which can lead to catastrophic consequences for the involved industries. For instance, this happens when diagnosing rotor faults via current analysis, where there are certain situations that can lead to either false positives or negative indications, such as the presence of oscillating load torques or the existence of non-adjacent bar breakages. Recently, the analysis of the magnetic field in the vicinity of the motor has been proposed as a promising tool to overcome some problems of the classical approaches. However, few works have been focused on the analysis of steady-state signals. This paper explores the analysis of external magnetic fields during transient operation as way to enhance the reliability when detecting rotor faults. The results are promising and show the high potential of this technique to become a complementary information source in cases where the classical tools are not conclusive.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
Pages3815-3821
Number of pages7
Volume2017-January
ISBN (Electronic)9781538611272
DOIs
Publication statusPublished - 15 Dec 2017
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Beijing, China
Duration: 29 Oct 20171 Nov 2017
Conference number: 43
http://iecon2017.csp.escience.cn/

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryChina
CityBeijing
Period29/10/201701/11/2017
Internet address

Keywords

  • fault diagnosis
  • induction motors
  • magnetic field
  • rotor faults
  • stray flux
  • transient analysis

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