Balkan Journal of Electrical and Computer Engineering

2147-284X 2147-284X

MUSA YILMAZ

10.17694/bajece.650484

Electrical Engineering

Elektrik Mühendisliği

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

https://orcid.org/0000-0002-7953-0578

Doğan

Zafer

TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ

https://orcid.org/0000-0003-1085-095X

Selçuk

Rumeysa

BEYKOZ ÜNİVERSİTESİ

01 31 2020

8 1 73 80 11 25 2019 01 16 2020

2013

Balkan Journal of Electrical and Computer Engineering

Stator winding faultsmay cause severe damages in Permanent Magnet Synchronous Motors (PMSM) if notdetected early on. The earliest fault detection in motors should be made duringtransient states throughout the initial starting period. A new approach basedon Empirical Mode Decomposition (EMD) andstatistical analysis was presented for detecting stator winding fault by way oftransient state phase current of PMSM in this study. Models based on finiteelements method were developed for the PMSM representing the healthy and faultystates in order to implement the suggested fault detection method. Afterwards,transient state stator phase winding currents were measured for healthy andfaulty states under nominal load in accordance with motor models. Thesenon-linear current signals monitored were separated into its Intrinsic ModeFunctions (IMF) via the EMD method. Pearson Correlation Coefficient was usedfor determining the IMF that most resembles the characteristics of the mainsignal. Statistical parameter-based feature extractions were carried out forthe IMF signals determined for the healthy and faulty states. Fault and faultlevel detection were carried out successfully by comparing the obtained featurevectors. The acquired results have put forth that the suggested method can beused securely for fault detection in electrical machines especially for earlyfault detection.

Permanent Magnet Synchronous Motors Stator winding faults EMD

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