A Diagnosis of Stator Winding Fault Based on Empirical Mode Decomposition in PMSMs

Year 2020, Volume: 8 Issue: 1, 73 - 80, 31.01.2020

Zafer Doğan , Rumeysa Selçuk

https://doi.org/10.17694/bajece.650484

Cited By: 2

Abstract

Stator winding faults
may cause severe damages in Permanent Magnet Synchronous Motors (PMSM) if not
detected early on. The earliest fault detection in motors should be made during
transient states throughout the initial starting period. A new approach based
on Empirical Mode Decomposition (EMD) and
statistical analysis was presented for detecting stator winding fault by way of
transient state phase current of PMSM in this study. Models based on finite
elements method were developed for the PMSM representing the healthy and faulty
states in order to implement the suggested fault detection method. Afterwards,
transient state stator phase winding currents were measured for healthy and
faulty states under nominal load in accordance with motor models. These
non-linear current signals monitored were separated into its Intrinsic Mode
Functions (IMF) via the EMD method. Pearson Correlation Coefficient was used
for determining the IMF that most resembles the characteristics of the main
signal. Statistical parameter-based feature extractions were carried out for
the IMF signals determined for the healthy and faulty states. Fault and fault
level detection were carried out successfully by comparing the obtained feature
vectors. The acquired results have put forth that the suggested method can be
used securely for fault detection in electrical machines especially for early
fault detection.

Keywords

Permanent Magnet Synchronous Motors, Stator winding faults, EMD

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