Control chart-integrated machine learning models for incipient fault detection in wind turbine main bearing

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Samuel M. Gbashi, Obafemi O. Olatunji, Paul A. Adedeji, Nkosinathi Madushele
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Anomaly detection
Exponentially weighted moving average control chart
Fault prognosis
Isolation forest
One-class support vector machine
Vibration
Online Access:https://doi.org/10.1007/s44163-025-00409-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44163-025-00409-3

Similar Items