Multiple criteria fault detection of a BLDC (Brushless Direct Current) motor

Abstract

This work presents a multiple criteria approach for stator fault 
detection (FD) in an in-wheel brushless DC (BLDC) motor for 
electric vehicles. The detection of inter-turn short circuits in 
the stator windings of the BLDC is studied.
The fault detection scheme is performed based on the 
instantaneous space phasor (ISP). The fault signature (residual) 
is built using the fast Fourier transform (FFT) and discrete 
wavelet transform (DWT). 
An experimental setup comprising a modified in-wheel BLDC 
was used to validate this approach.
The results of signal processing based FD are verified by an 
analysis made with thermographic techniques.