Park Vector Approach based Misalignment Detection Strategy for IMs

Ege Kahraman*, Anil Erkut Ulusoy, Mehmet Ozan Şerifoǧlu, Duygu Bayram Kara

*Bu çalışma için yazışmadan sorumlu yazar

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Özet

Tracking mechanical problems using current signal is a very promising area with the ease of data collection. For this aim, in this study, a misalignment detection strategy has been developed using Park Vector Approach (PVA). PVA is applied to healthy and misaligned induction motor's current signals during steady state and starting. It is noticed that the shape of Lissajou's curve is informative during steady-state operation. On the other hand, the thickness of curve is more descriptive during starting. As the proposed detection strategy, in the existence of these two factors, namely the shape defect in steady state and thicker curve structure in starting, the motor can be labeled as misaligned. Besides the proposed strategy, this study is a good example of PVA application to transient periods, in experimental basis. The study brings a unique contribution to the literature by the employment of transient data and combining two findings based on PVA.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798350360493
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Virtual, Bursa, Turkey
Süre: 30 Kas 20232 Ara 2023

Yayın serisi

Adı14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings

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???event.eventtypes.event.conference???14th International Conference on Electrical and Electronics Engineering, ELECO 2023
Ülke/BölgeTurkey
ŞehirVirtual, Bursa
Periyot30/11/232/12/23

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Publisher Copyright:
© 2023 IEEE.

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