Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines

Sang Bin Lee, Doosoo Hyun, Tae June Kang, Chanseung Yang, Sungsik Shin, Heonyoung Kim, Sungbong Park, Tae Sik Kong, Hee Dong Kim

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

Motor current signature analysis (MCSA) has become an essential part of the preventive maintenance program for monitoring the condition of the rotor cage in medium-voltage induction motors in the pulp and paper industry. However, many cases of false indications due to interference from the motor or the load have been reported. False indications can result in unnecessary inspection and outage costs (false positives) or major repair/replacement costs and loss of production (false negatives). The objective of this paper is to present the potential root causes of false indications and provide guidelines on how commercially available offline and online tests can be applied for identifying false indications from a field engineers' perspective. Case studies of false MCSA indications and results of alternative commercial tests for improving the reliability of the diagnosis are provided through measurements on 6.6-kV and laboratory motor samples. Finally, new test methods under research and development for reliable rotor fault detection are summarized, and unresolved problems are listed. This paper is expected to help field maintenance engineers prevent unnecessary motor inspection and forced outages and guide researchers target future research toward industrial needs.

Original languageEnglish
Article number7177055
Pages (from-to)729-739
Number of pages11
JournalIEEE Transactions on Industry Applications
Volume52
Issue number1
DOIs
Publication statusPublished - 2016 Jan 1

Fingerprint

Rotors
Electric potential
Outages
Inspection
Industrial research
Engineers
Preventive maintenance
Paper and pulp industry
Fault detection
Induction motors
Costs
Repair
Monitoring

Keywords

  • Fault diagnosis
  • Induction motor
  • Monitoring
  • Rotor testing
  • Spectral analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines. / Lee, Sang Bin; Hyun, Doosoo; Kang, Tae June; Yang, Chanseung; Shin, Sungsik; Kim, Heonyoung; Park, Sungbong; Kong, Tae Sik; Kim, Hee Dong.

In: IEEE Transactions on Industry Applications, Vol. 52, No. 1, 7177055, 01.01.2016, p. 729-739.

Research output: Contribution to journalArticle

Lee, Sang Bin ; Hyun, Doosoo ; Kang, Tae June ; Yang, Chanseung ; Shin, Sungsik ; Kim, Heonyoung ; Park, Sungbong ; Kong, Tae Sik ; Kim, Hee Dong. / Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines. In: IEEE Transactions on Industry Applications. 2016 ; Vol. 52, No. 1. pp. 729-739.
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