DocumentCode
2399844
Title
Broken rotor bars fault detection in squirrel cage induction machines
Author
Yazidi, Amine ; Henao, Humberto ; Capolino, Gérard-André
Author_Institution
Dept. of Electr. Eng., Picardie Univ., Amiens
fYear
2005
fDate
15-15 May 2005
Firstpage
741
Lastpage
747
Abstract
Intensive research efforts have been focused on the signature analysis (SA) to detect electrical and mechanical faults of three-phase squirrel-cage induction machines. For this purpose, different signals can be used such as stator voltages, stator currents, stray flux and input power. The diagnosis methods based on current signals analysis (CSA) are the most popular. The interpretation of one-phase current spectrum or three-phase current space vector spectrum provides direct information on the presence of abnormal conditions. In this paper, attention has been paid to the stray flux for rotor fault diagnosis of the three-phase squirrel-cage induction machines
Keywords
fault diagnosis; magnetic flux; rotors; squirrel cage motors; stators; broken rotor bars fault; current signals analysis; electrical faults detection; input power; mechanical faults detection; one-phase current spectrum; rotor fault diagnosis; signature analysis; squirrel cage induction machines; stator currents; stator voltages; stray flux; three-phase current space vector spectrum; Bars; Circuit faults; Electrical fault detection; Fault detection; Induction machines; Machine windings; Rotors; Stator windings; Torque; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Machines and Drives, 2005 IEEE International Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-8987-5
Electronic_ISBN
0-7803-8988-3
Type
conf
DOI
10.1109/IEMDC.2005.195805
Filename
1531423
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