Induction Machine Diagnosis Of The Broken Rotor Bars Based On Air-gap Magnetic Flux Density

In this paper; air-Gap magnetic flux density of induction machine is considered to detect faults such as broken rotor bars. Electrical condition monitoring using air-gap magnetic flux density and magnetic vector potential is chosen due to its effectiveness, simplicity and low cost. The magnetic field is efficient due to its ability to sample the harmonics component that consists the full information of induction machine fault via fast Fourier transform FFT. The Maxwell equations describe the local behaviour in time and space of magnetic performance. Modélisation has well done by using finite elements method in cases of a healthy and faulty machine in which used for modelling the broken rotor bars.