Outlier Detection for Permanent Magnet Synchronous Motor (PMSM) Fault Detection and Severity Estimation
Konstantinos Koutrakos,
Epameinondas Mitronikas
Abstract:Today, Permanent Magnet Synchronous Motors (PMSMs) are a dominant choice in industry applications. During operation, different possible faults in the system can occur, so early and automated fault detection and severity estimation are required to ensure smooth operation and optimal maintenance planning. In this direction, outlier detection methods are employed in this paper. The motor’s current signals are used to extract useful indicators of the fault, along with d-q transform. Statistical indicators in both … Show more
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