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 | |
| Publication status | Published - 2016 Jan 1 |
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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 journal › Article
}
TY - JOUR
T1 - Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines
AU - Lee, Sang Bin
AU - Hyun, Doosoo
AU - Kang, Tae June
AU - Yang, Chanseung
AU - Shin, Sungsik
AU - Kim, Heonyoung
AU - Park, Sungbong
AU - Kong, Tae Sik
AU - Kim, Hee Dong
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Fault diagnosis
KW - Induction motor
KW - Monitoring
KW - Rotor testing
KW - Spectral analysis
UR - http://www.scopus.com/inward/record.url?scp=84962308124&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962308124&partnerID=8YFLogxK
U2 - 10.1109/TIA.2015.2464301
DO - 10.1109/TIA.2015.2464301
M3 - Article
AN - SCOPUS:84962308124
VL - 52
SP - 729
EP - 739
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
SN - 0093-9994
IS - 1
M1 - 7177055
ER -