DocumentCode :
725682
Title :
Signature analysis for on-line motor diagnostics
Author :
Culbert, Ian ; Letal, John
Author_Institution :
Qualitrol-Iris Power, Mississauga, ON, Canada
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
1
Lastpage :
10
Abstract :
Stator current signature analysis on induction motors is a proven method for diagnosing rotor squirrel cage winding defects and air gap eccentricity problems. With this technology, specific frequency current components can be identified as an indication of cage winding defects as well as a non-uniform gap between the stator and rotor. Because this data is generally collected periodically, it is important to identify these components as early as possible. These trendable parameters can then be monitored more often to avoid inservice failure. With the application of new processing technologies, the ability to identify these critical current signature frequency components and trend the deterioration they indicate has improved. This allows for maintenance activities to be scheduled earlier and performed prior to failure avoiding costly motor component damage and unplanned downtime.
Keywords :
air gaps; failure analysis; rotors; squirrel cage motors; stators; air gap eccentricity problem; induction motor; inservice failure avoidance; nonuniform gap; online motor diagnostics; rotor squirrel cage winding defect diagnosis; specific frequency current component; stator current signature analysis; Bars; Induction motors; Maintenance engineering; Rotors; Stator windings; Windings; air gap eccentricity; broken rotor bars; condition based maintenance; induction motor; rotor squirrel cage winding; stator current signature analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pulp and Paper Industry Conference (PPIC), 2015 61st IEEE
Conference_Location :
Milwaukee, WI
ISSN :
0190-2172
Print_ISBN :
978-1-4799-7113-8
Type :
conf
DOI :
10.1109/PPIC.2015.7165866
Filename :
7165866
Link To Document :
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