Title :
Identification of false rotor fault indications produced by on-line MCSA for medium voltage induction machines
Author :
Sang Bin Lee ; Doosoo Hyun ; Tae-june Kang ; Chanseung Yang ; Sungsik Shin ; Heonyoung Kim ; Sungbong Park ; Tae-Sik Kong ; Hee-Dong Kim
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
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 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 off-line and on-line 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 towards industrial needs.
Keywords :
condition monitoring; fault diagnosis; induction motors; paper industry; preventive maintenance; reliability; rotors; signal processing; false rotor fault indications identification; fault diagnosis reliability improvement; medium voltage induction machine; medium voltage induction motor; motor current signature analysis; motor inspection; online MCSA; preventive maintenance program; pulp and paper industry; rotor cage condition monitoring; rotor fault detection reliability; voltage 6.6 kV; Ducts; Induction motors; Inspection; Perpendicular magnetic anisotropy; Reluctance motors; Rotors; Fault Diagnosis; Induction Motor; Monitoring; Rotor Testing; Spectral Analysis;
Conference_Titel :
Pulp and Paper Industry Conference (PPIC), 2015 61st IEEE
Conference_Location :
Milwaukee, WI
Print_ISBN :
978-1-4799-7113-8
DOI :
10.1109/PPIC.2015.7165709