Scopus
Diagnosis of broken rotor bar faults by using frequency spectrum of stator current envelope
Proceedings - 2012 20th International Conference on Electrical Machines, ICEM 2012 · Aralık 2012
Makale Bilgileri
DergiProceedings - 2012 20th International Conference on Electrical Machines, ICEM 2012
Yayın TarihiAralık 2012
Scopus ID2-s2.0-84870777674
Özet
The paper presents squirrel cage induction motor rotor bar faults detection and classification by using stator current envelope at steady state operation. One of the stator currents has been used in the investigating of effects of rotor faults on the current envelopes. Fluctuations of the envelope were used as features of faults conditions for diagnosis. For feature extraction, frequency spectrum of the envelope of current was obtained by fast Fourier Transform (FFT). Significant picks in the spectrum were used to discern healthy and faulty motor conditions. The motor conditions were classified by Artificial Neural Network (ANN). In experiments three different rotor faults and healthy motor conditions were investigated by 30 HP, 8, with 18 bars, 380V, 2 poles and 50 Hz squirrel cage submersible induction motor. The proposed decision structure detects and classifies rotor bar faults with 100% accuracy. © 2012 IEEE.
Yazarlar (2)
1
Hayri Arabaci
2
Osman Bilgin
Anahtar Kelimeler
Artificial Neural Network
Broken rotor bar
Fast Fourier Transform
fault diagnosis
induction motors
stator current envelope
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
12
Atıf
2
Yazar
6
Anahtar Kelime