Current signature analysis to detect induction motor faults

Author

Thomson, William T. ; Fenger, Mark

Author_Institution

Robert Gordon Univ., Aberdeen, UK

Volume

7

Issue

4

fYear

2001

Firstpage

26

Lastpage

34

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;

fLanguage

English

Journal_Title

Industry Applications Magazine, IEEE

Publisher

ieee

ISSN

1077-2618

Type

jour

DOI

10.1109/2943.930988

Filename

930988