Detection of Shaft Misalignment of a PMSM using Zoom-FFT

Konstantinos Koutrakos,Epameinondas Mitronikas

2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)(2023)

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摘要
In this paper, Shaft Misalignment of a Permanent Magnet Synchronous Motor (PMSM) is investigated, through a computationally-efficient method, Zoom-FFT. Conventional FFT computes a wide-range frequency spectrum while only a part of the frequency spectrum is necessary for fault detection. As conventional Zoom-FFT may lead to higher complexity for narrow fault-related frequency bands, a Two Stage Zoom-FFT analysis has been proposed, which offers a low-complexity solution, taking advantage of the current measurement sensors integrated in the PMSM drive system. The proposed method has been validated through experimental testing under different operating conditions.
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关键词
AC Machines,Permanent Magnet Synchronous Machines,Motor Current Signature Analysis (MCSA),Shaft Misalignment,Fault Detection,Zoom-FFT
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