Title :
Current signature analysis to detect induction motor faults
Author :
Thomson, William T. ; Fenger, Mark
Author_Institution :
Robert Gordon Univ., Aberdeen, UK
Abstract :
Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. In an industrialized nation, they can typically consume between 40 to 50% of all the generated capacity of that country. This article focuses on the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives. MCSA is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors. Reliability-based maintenance (RBM) and condition-based maintenance (CBM) strategies are now widely used by industry, and health monitoring of electrical drives is a major feature in such programs
Keywords :
electric current measurement; fault diagnosis; induction motors; machine testing; maintenance engineering; monitoring; condition-based maintenance; motor current signature analysis; motor health monitoring; noninvasive online monitoring; reliability-based maintenance; three-phase induction motor fault detection; Bars; Condition monitoring; Fault detection; Frequency; Induction motor drives; Induction motors; Maintenance; Rotors; Stator windings; Voltage;
Journal_Title :
Industry Applications Magazine, IEEE
DOI :
10.1109/2943.930988