Eccentricity fault diagnosis in a permanent magnet synchronous motor under   nonstationary speed conditions

MUSTAFA EKER; MEHMET AKAR

Makale detayları

Eccentricity fault diagnosis in a permanent magnet synchronous motor under nonstationary speed conditions

Yazarlar:

MUSTAFA EKER | MEHMET AKAR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.1881-1893

Belge Tipi:

Makale

Yayın Tarihi:

5/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000736383

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Electric motor faults decrease production capacity and   increase maintenance costs. Today, predictive detection based on real-time   monitoring and fault detection is taking the place of periodic applications.   In this study, a new method is presented for the detection of eccentricity   faults in permanent magnet synchronous motors. The motor current and the   rotor speed were monitored under stationary and nonstationary speed and   different load conditions, after which the fault detection was carried out   via angular domain-order tracking method. The obtained results were compared   with traditional fast Fourier transform results. It was observed that the   suggested method can successfully detect the fault for stationary and   nonstationary signals. In addition, the position of the fault-related   components are constant independent of the motor current frequency, speed,   and load levels.

Makale detayları

Eccentricity fault diagnosis in a permanent magnet synchronous motor under nonstationary speed conditions

Yazarlar: MUSTAFA EKER | MEHMET AKAR

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.1881-1893

Belge Tipi: Makale

Yayın Tarihi: 5/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000736383

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

MUSTAFA EKER | MEHMET AKAR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.1881-1893

Belge Tipi:

Makale

Yayın Tarihi:

5/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000736383

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632