Title :
On line diagnosis of defaults on squirrel cage motors using FEM
Author :
Bentounsi, A. ; Nicolas, A.
Author_Institution :
Inst. d´´Electron. l´´Univ. de Constantine, Algeria
fDate :
9/1/1998 12:00:00 AM
Abstract :
In industry, predictive maintenance has become a strategic concept. Economic interest of online diagnosis of faults in electric machines gave rise to various researches in that field. This paper proposes a local approach to tackle the problem of breaking bars and end-rings of squirrel cage in induction machines based mainly on the signature of the local variables, such as the normal flux density. This allows a finer analysis, by use of a finite element based simulation
Keywords :
electrical faults; fault diagnosis; finite element analysis; machine theory; machine windings; magnetic flux; maintenance engineering; squirrel cage motors; FEM; breaking bars; end-ring breakages; finite element based simulation; induction machines; local variables signature; normal flux density; online fault diagnosis; predictive maintenance; squirrel cage motors; Bars; Circuit faults; Coupling circuits; Equations; Fault diagnosis; Finite element methods; Induction machines; Magnetic flux; Magnetostatics; Rotors;
Journal_Title :
Magnetics, IEEE Transactions on
