Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM

Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM

To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. The standard approach toward this challenge is based on vibration monitoring...

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Bibliographic Details
Main Authors: Christian Tutivén, Yolanda Vidal, Andres Insuasty, Lorena Campoverde-Vilela, Wilson Achicanoy
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
anomaly detection
condition-based maintenance
condition monitoring
fault diagnosis
main bearing
one-class support vector machine
Online Access:https://www.mdpi.com/1996-1073/15/12/4381

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