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This paper deals with the early detection of a rotor bar breakage through harmonics of the stator current and of the magnetic field in an induction motor proximity. The investigations are based on the 3D finite element model of a squirrel-cage induction motor.
In the paper electrical condition monitoring using air-gap magnetic flux density and magnetic vector potential is chosen due to its effectiveness, simplicity and low cost. AirGap magnetic flux density utilises spectral analysis results of induction machine to detect faults such as broken rotor bars. The magnetic field is efficient due to its ability to sample the harmonics component that consists...
An analytical model is presented, which uses two-dimensional field theory in polar coordinates to determine the flux density distribution, cogging torque, back EMF and electromagnetic torque in the slotted air gap of permanent-magnet motors with surface mounted magnet bars which are magnetized in shifting direction. The magnet arc to pole pitch ratio in the motor is not necessarily equal to unity...
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