Semi-supervised broad learning generative adversarial network for intelligent fault diagnosis of wind turbine based on SCADA data

Longyu Cui, Yang Fu, Deqiang He, Zhenzhen Jin, Hongrui Cao, Jiachen Ma, Bin Yu, Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, State Key Laboratory for Manufacturing Systems Engineering, an Jiaotong University, Beijing Goldwind Science , Creation Windpower Equipment Co

Journal of Vibration and Control

Published online on November 19, 2025

Abstract

Journal of Vibration and Control, Ahead of Print.
SCADA data-driven fault diagnosis is a research hotspot in the field of wind turbine intelligent fault diagnosis. However, most existing methods rely on labeled data and neglect to mine fault information from a large amount of unlabeled data. Moreover, ...