Sensor fault diagnosis for wind turbine system

被引:4
|
作者
机构
[1] Shen, Yan-Xia
[2] Yang, Xiong-Fei
[3] Zhao, Zhi-Pu
来源
Shen, Yan-Xia (shenyx@jiangnan.edu.cn) | 1600年 / South China University of Technology卷 / 34期
关键词
25;
D O I
10.7641/CTA.2017.60296
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Alarm fault diagnosis of wind turbine system
    [J]. Qiu, Yingning (yingning.qiu@njust.edu.cn), 1600, Science Press (38):
  • [2] FAULT DIAGNOSIS OF WIND TURBINE BEARING USING WIRELESS SENSOR NETWORKS
    Ramalingam, Indhu
    Annamalai, Sankaran Rangasamy
    Vaithiyanathan, Sugumaran
    [J]. THERMAL SCIENCE, 2017, 21 : S523 - S531
  • [3] Wind Turbine Fault Diagnosis System Based on A Fuzzy Expert System
    Yang, Wenguang
    Jiang, Dongxiang
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE, 2015, 17 : 530 - 535
  • [4] Design and implementation of automatic fault diagnosis system for wind turbine
    Pang, Yu
    Jia, Limin
    Zhang, Xuejia
    Liu, Zhan
    Li, Dazi
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 87
  • [5] The fault diagnosis of cracks in the planetary gear system of wind turbine
    Gui, Yong
    Han, Qinkai
    Li, Zheng
    Chu, Fulei
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2016, 36 (01): : 169 - 175
  • [6] Fault diagnosis of electric pitch system for MW wind turbine
    Gao, Feng
    Deng, Xingxing
    Liu, Qiang
    Yang, Xiyun
    Wu, Xiaojiang
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (05): : 98 - 106
  • [7] Study of intelligence diagnosis system for wind turbine gearbox fault
    Department of Mechanical Engineering, North China Electric Power University, Baoding, China
    [J]. Telkomnika Indonesian J. Elect. Eng., 2013, 8 (4691-4697):
  • [8] A Study on Crack Fault Diagnosis of Wind Turbine Simulation System
    Bae, Keun-Ho
    Choi, Byung-Oh
    Park, Jong-Won
    Kim, Bong-Ki
    [J]. PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II, 2014, : 53 - 57
  • [9] Rule - based Fault Diagnosis Expert System for Wind Turbine
    Deng, Xiao-Wen
    Gao, Qing-Shui
    Zhang, Chu
    Hu, Di
    Yang, Tao
    [J]. 2017 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (IST 2017), 2017, 11
  • [10] An Experimental Study of Sensor-less Fault Diagnosis on Rolling Bearing of Wind Turbine Generator System
    Shi, Xianjiang
    Zhang, Jiankun
    Du, Heng
    Zhang, Jingchun
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE, 2015, 17 : 422 - 426