Frequency analysis in fault detection of dual‐channel BLDC motors with combined star–delta winding

Abstract

This study compares the properties of dual-channel brushless DC motors with permanent magnets (DCBLDCMs) in three configurations of the stator windings of both channels. An analysis was performed of star-connected (Y), delta-connected (Δ), and combined star-delta (YΔ) channel windings. A proprietary mathematical model of a DCBLDCM machine with combined star-delta windings is presented. Each type of winding configuration was evaluated in terms of tolerance to the occurrence of a discontinuity in the channel. An Fast Fourier Transform (FFT) analysis of the selected voltage signal was used to diagnose the operating status of the DCBLDCM. It was demonstrated that it provides unambiguous information about the operating status of individual channels of the motor. In the case od 24/10 DCBLDCM design, the harmonic spectra of a selected voltage signal in relation to the artificial neutral point, are presented. The results of simulation tests were compared with the results of laboratory measurements. It was demonstrated that an FFT analysis of a voltage signal in relation to the artificial neutral point identifies a fault in a channel of the motor. When evaluating the characteristics of individual winding configurations, the value of electromagnetic torque, torque ripple, system efficiency, and emitted noise were taken into account. In the conclusions, the advantages of the combined star-delta winding compared to the traditional star and delta winding configurations are presented. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Electromagnetic Performance Analysis of a Multichannel Permanent Magnet Synchronous Generator

“…During the operation of the generator, diagnostic information about the state of individual channels is important. The paper [24] indicates the possibility of diagnostic control by performing the harmonic analysis (FFT) of the voltage signal for motor operation of the MCPMSM. In Figure 15, the authors' proposition for the location of the diagnostic voltage signal for the MCPMSG is presented [27].…”