Fault Data Identification in Condition Monitoring Systems for Wind Turbine Generator Bearings Based on BERT Model

Your Location：

Home >

Browse articles >

Fault Data Identification in Condition Monitoring Systems for Wind Turbine Generator Bearings Based on BERT Model

Frontier AI Technologies and Large Model Applications for New Power Systems | Updated：2026-09-04

- Fault Data Identification in Condition Monitoring Systems for Wind Turbine Generator Bearings Based on BERT Model
- HAN Bing , XU Aimin , WANG Haijun , QIU Hu , WANG Xin , JI Xianrui , YANG Xingyu , CHEN Lin
- Power Generation Technology Vol. 47, Issue 4, Pages: 731-741(2026)
- Affiliations：
  1.Wind Power Branch, SPIC Hubei Electric Power Co., Ltd., Wuhan 430061, Hubei Province, China
  2.SPIC Hubei Electric Power Co., Ltd., Wuhan 430061, Hubei Province, China
  3.School of Energy Power and Mechanical Engineering, North China Electric Power University, Changping District, Beijing 102206, China
- Author bio：
  Han Bing (1975), Male, Senior Engineer. Research interests focus on power systems. Email: hanbing75@126.com
  Wang Haijun (1977), male, Senior Engineer. Research interests focus on integrated smart energy and renewable energy technologies. Email: 2209137309@qq.com
  Yang Xingyu (2000), male, Ph.D. Candidate. Research interests focus on fault diagnosis and the prediction of power equipment. Email: 13995001356@163.com
  Chen Lin (1982), male, Ph.D., Professor. Research interests focus on heat and mass transfer, and modeling and simulation of energy and power systems. Email: chenlin@ncepu.edu.cn (corresponding author)
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260405
  CLC：
- Revised：2026-01-24 ，
- Accepted：
Scan QR Code
DOI：
DOI：

Full Text(HTML)
Figs( 7 ) Tabs( 5 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

9

Views

4

Downloads

0

CSCD

Alert me when the article has been cited

Submit

Tools

BibTeXDownload
EndnoteDownload
RefMan Download
NoteExpressDownload
NoteFirstDownload

Publicity Resources

Related Articles

Path Planning Method for Intelligent Unmanned Aerial Vehicle Inspection Considering Wind Farm Wake Effects

Fault Diagnosis Method for Hydroturbine Units Based on Transformer and Multimodal Heterogeneous Feature Fusion

Coordinated Control Technology for Electricity-Hydrogen Coupling System Clusters

Design and Analysis of Power Amplification of Methane Hydrogen-Doped Micro-Mixed Burner

Transformer and Q Learning Dual-Driven Smart Generation Control for New Power Systems

Related Author

LIU Xu

MO Haotian

YAN Xiangyu

FANG Jianhao

LU Chunbo

FAN Jia

HU Weifei

Related Institution

New Energy Branch of Huadian (Ningxia) Energy Co., Ltd., Yinchuan 750000, Ningxia Autonomous Region

College of Mechanical Engineering, Zhejiang University

Huadian Electric Power Research Institute Co., Ltd.