Sürekli dalgacik dönüşümü ile elektrik motorlarinda ariza tanisi üzerine bir i̇nceleme

Emine Ayaz*, Ahmet Öztürk, Serhat Şeker

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

The purpose of this paper is to extract features from vibration signals measured from induction motors subjected to accelerated bearing fluting aging. The signals taken from accelerometers placed near to process end bearing were first combined using simple sensor fusion method and then spectral analysis and time-scale analysis were performed. Fused vibration signals were decomposed into several scales using continuous wavelet transform analysis and selected scales was further investigated to get detailed information relating to bearing damage features. And also the advantage of the continuous wavelet transform over Fourier transform was emphasized in terms of getting the bearing damage between 2-4 kHz and this frequency band was interpreted as a joint feature for both of the healthy and aged motor cases. And also, the transfer function to indicate the bearing damage was reperesented.

Tercüme edilen katkı başlığıA study on continuous wavelet transform for fault detection in electric motors
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2006 IEEE 14th Signal Processing and Communications Applications Conference
DOI'lar
Yayın durumuYayınlandı - 2006
Etkinlik2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Süre: 17 Nis 200619 Nis 2006

Yayın serisi

Adı2006 IEEE 14th Signal Processing and Communications Applications Conference
Hacim2006

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???event.eventtypes.event.conference???2006 IEEE 14th Signal Processing and Communications Applications
Ülke/BölgeTurkey
ŞehirAntalya
Periyot17/04/0619/04/06

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