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

doi:10.1109/TIA.2015.2464301

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

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

61 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 language	English
Article number	7177055
Pages (from-to)	729-739
Number of pages	11
Journal	IEEE Transactions on Industry Applications
Volume	52
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2015.2464301
Publication status	Published - 2016 Jan 1

Keywords

Fault diagnosis
Induction motor
Monitoring
Rotor testing
Spectral analysis

ASJC Scopus subject areas

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

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10.1109/TIA.2015.2464301

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 journal › Article › peer-review

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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.",

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

Abstract

Keywords

ASJC Scopus subject areas

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