Özet
In this research, we studied on fault detection at the inner race of bearing in induction motors using trend analysis and continuous wavelet transform. Vibration signals collected from a test setup for normal and faulty cases are analyzed by the trend analysis method. This method aims to determine intersection points of trend lines that represent fault information carrying frequency. Then, the faulty vibration signal is examined with continuous wavelet transform. By using continuous wavelet transform (CWT), it is aimed to calculate the frequency resulting the highest wavelet coefficients which describe the fault signal frequency.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9798350360493 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2023 |
Harici olarak yayınlandı | Evet |
Etkinlik | 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Virtual, Bursa, Turkey Süre: 30 Kas 2023 → 2 Ara 2023 |
Yayın serisi
Adı | 14th 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 |
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Ülke/Bölge | Turkey |
Şehir | Virtual, Bursa |
Periyot | 30/11/23 → 2/12/23 |
Bibliyografik not
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