Detection of short circuit fault in axial flux machines with finite element method

Abstract

Axial Flux Permanent Magnet (AFPM) machines have many unique features due to their high torque and power density motors. On the other hand, these machines have disadvantages such as short circuit, demagnetization and rotor eccentricity, which should be considered in application and maintenance. It is important to detect short-circuit faults that occur in axial flux permanent magnet machines before they occur. Failure of these machines will adversely affect their operation. In axial flux machines, both healthy and faulty analyzes can be made with the finite element method. Thanks to this analysis, it will be possible to see whether changes occur in the behavior of the machine. The axial flux permanent magnet machine to be designed can be tested by using the finite element method. The features of the stator output signals obtained by the finite element method are extracted by applying the fast Fourier transform (FFT), these features are kNN and RF, etc. It can be aimed to separate using classification methods.