Increasing Wind Turbine Drivetrain Bearing Vibration Monitoring Detectability Using an Artificial Neural Network Implementation

Increasing Wind Turbine Drivetrain Bearing Vibration Monitoring Detectability Using an Artificial Neural Network Implementation

The highest costs due to premature failures in wind turbine drivetrains are related to defects in the gearbox, with bearing failures being overrepresented. Vibration monitoring has been identified as the primary tool to detect and diagnose these types of failures. However, late or no signs of the fa...

Full description

Bibliographic Details
Main Authors: Daniel Strömbergsson, Pär Marklund, Kim Berglund
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
vibration measurements
bearing failure
wind turbine drivetrain bearings
artificial neural networks
Online Access:https://www.mdpi.com/2076-3417/11/8/3588

Internet

https://www.mdpi.com/2076-3417/11/8/3588

Similar Items