Control chart-integrated machine learning models for incipient fault detection in wind turbine main bearing
Abstract Wind farm operators traditionally rely on SCADA temperature alarms for early signs of main bearing degradation. However, these alarms are sometimes delayed due to slow propagation of temperature in the main bearing. This study proposes the use of turbine multi-sensor vibration data as a via...
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| Main Authors: | Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, Nkosinathi Madushele |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00409-3 |
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