Starting current analysis for condition monitoring of medium voltage induction motors in the steel industry

Chanseung Yang, Sang Bin Lee, Geunik Jang, Seongnam Kim, Gyukyung Jung, Junghoon Lee, Sangwook Shim, Young Kab Lim, Jinpyo Kim, Sungbong Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Failure of medium voltage (MV) induction motors is a major concern in the steel industry considering that it can cause an unplanned outage of the process resulting in significant economic consequences. Predictive maintenance based on offline and on-line testing of the induction motors is therefore critical for maintaining reliable, efficient, and safe plant operation. Many years of experience has shown that the MV induction motor failure rate can be significantly reduced with periodic motor testing, resulting in improved plant reliability and productivity. It has also been observed that false fault indications are commonly produced by commercially available test equipment, and that applying multiple types of tests can improve the reliability of testing. In this paper, the effectiveness of a new test approach based on the analysis of the motor starting current is investigated for detecting defects in the rotor cage and reactor starting. Analysis of the starting data obtained from 614 MV induction motors operating at a steel mill over the last 10+ years showed that the two types of faults were present in 45 MV motors. 7 successful case studies of rotor cage and reactor starting defects are presented to provide insight on the advantages of starting current analysis for induction motor monitoring.

Original languageEnglish
Title of host publication2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
Volume2017-January
ISBN (Electronic)9781509048946
DOIs
Publication statusPublished - 2017 Nov 8
Event2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, United States
Duration: 2017 Oct 12017 Oct 5

Other

Other2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
CountryUnited States
CityCincinnati
Period17/10/117/10/5

Keywords

  • Condition Monitoring
  • Failure Analysis
  • Fault Diagnosis
  • Induction Motors
  • Predictive Maintenance
  • Spectral Analysis
  • Steel Industry

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Yang, C., Lee, S. B., Jang, G., Kim, S., Jung, G., Lee, J., Shim, S., Kab Lim, Y., Kim, J., & Park, S. (2017). Starting current analysis for condition monitoring of medium voltage induction motors in the steel industry. In 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 (Vol. 2017-January, pp. 1-9). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2017.8101827