Wavelet based trend analysis for monitoring and fault detection in induction motors

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2 Atıf (Scopus)

Özet

The aging mechanism of an induction motor is observed using vibration signatures in this study. A wavelet based trending application is used through Multi Resolution Wavelet Analysis. The progress of aging is shown and interpreted based on the trends of different cases of the same induction motor. Aging region concept is introduced to designate a new condition monitoring strategy. So, the vibration monitoring is refined into a smaller scale. By this way, a new simple and feasible monitoring algorithm is proposed. Then a rating parameter is introduced in order to estimate the situation of the motor. Thus, by using this method the aging of any random state can be detected as a percentage.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2014 IEEE 15th Workshop on Control and Modeling for Power Electronics, COMPEL 2014
YayınlayanIEEE Computer Society
ISBN (Basılı)9781479921478
DOI'lar
Yayın durumuYayınlandı - 2014
Etkinlik2014 IEEE 15th Workshop on Control and Modeling for Power Electronics, COMPEL 2014 - Santander, Spain
Süre: 22 Haz 201425 Haz 2014

Yayın serisi

Adı2014 IEEE 15th Workshop on Control and Modeling for Power Electronics, COMPEL 2014

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???event.eventtypes.event.conference???2014 IEEE 15th Workshop on Control and Modeling for Power Electronics, COMPEL 2014
Ülke/BölgeSpain
ŞehirSantander
Periyot22/06/1425/06/14

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