Development of an SVR Model for the Fault Diagnosis of Large-Scale Doubly-Fed Wind Turbines Using SCADA Data

Development of an SVR Model for the Fault Diagnosis of Large-Scale Doubly-Fed Wind Turbines Using SCADA Data

Fault diagnosis and forecasting contribute significantly to the reduction of operating and maintenance associated costs, as well as to improve the resilience of wind turbine systems. Different from the existing fault diagnosis approaches using monitored vibration and acoustic data from the auxiliary...

Full description

Bibliographic Details
Main Authors: Mingzhu Tang, Wei Chen, Qi Zhao, Huawei Wu, Wen Long, Bin Huang, Lida Liao, Kang Zhang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
fault diagnosis
gearbox
wind turbine
support vector regression
supervisory control and data acquisition system (SCADA) data
Online Access:https://www.mdpi.com/1996-1073/12/17/3396

Similar Items

Similar Items