REMAINING USEFUL LIFE PREDICTION OF WIND TURBINE BLADES BASED ON OPTIMIZED LSTM MODEL

被引：0
|
作者：
Jiao, Jiaming [1 ]
Bi, Junxi [1 ,2 ,3 ]
Ge, Xinyu [1 ]
Wang, Guofu [1 ]
Ma, Hang [2 ]
Zhou, Dachuan [2 ]
机构：
[1] College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot,010051, China
[2] Aviation College, Inner Mongolia University of Technology, Hohhot,010051, China
[3] Key Laboratory of Wind Energy and Solar Energy Technology, Ministry of Education, Inner Mongolia University of Technology, Hohhot,010051, China
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 06期
关键词：
D O I：
10.19912/j.0254-0096.tynxb.2023-0215
中图分类号：
学科分类号：
摘要：
Long short-term memory
引用
收藏
页码：495 / 502
相关论文
共 50 条
  • [41] An Improved PF Remaining Useful Life Prediction Method Based on Quantum Genetics and LSTM
    Ge, Yang
    Sun, Lining
    Ma, Jiaxin
    [J]. IEEE ACCESS, 2019, 7 : 160241 - 160247
  • [42] Prediction of remaining useful life based on t-SNE and LSTM for rotating machinery
    Ge, Yang
    Guo, Lanzhong
    Niu, Shuguang
    Dou, Yan
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (07): : 223 - 231
  • [43] Remaining Useful Life Prediction of Aero-Engine Based on PCA-LSTM
    Li, Hao
    Wang, Zhuojian
    Li, Yuan
    Li, Zhe
    [J]. PROCEEDINGS OF 2021 7TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS (CMMNO), 2021, : 63 - 66
  • [44] Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction
    Zhang, Hao
    Zhang, Qiang
    Shao, Siyu
    Niu, Tianlin
    Yang, Xinyu
    [J]. IEEE ACCESS, 2020, 8 (08): : 132188 - 132199
  • [45] Remaining Useful Life Prediction Based on Improved LSTM Hybrid Attention Neural Network
    Xu, Mang
    Bai, Yunyi
    Qian, Pengjiang
    [J]. INTELLIGENT COMPUTING METHODOLOGIES, PT III, 2022, 13395 : 709 - 718
  • [46] Model-based prediction of the remaining useful life of the machines
    Boskoski, P.
    Dolenc, B.
    Musizza, B.
    Juricic, D.
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 12803 - 12808
  • [47] Remaining useful life prediction for equipment based on LSTM encoder-decoder method
    Zhao Z.-H.
    Li Q.
    Li L.-H.
    Zhao J.-J.
    [J]. Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2021, 21 (06): : 269 - 277
  • [48] Rolling Bearing Remaining Useful Life Prediction Based on LSTM-Transformer Algorithm
    Tang, Xinglu
    Xi, Hui
    Chen, Qianqian
    Lin, Tian Ran
    [J]. PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING, 2023, 117 : 207 - 215
  • [49] Remaining Useful Life Prediction Based on a Bi-directional LSTM Neural Network
    Pan, Zhen
    Xu, Zhao
    Wang, Hongye
    Chi, Chengzhi
    [J]. 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2020, : 985 - 990
  • [50] An Adaptive Generalized Cauchy Model for Remaining Useful Life Prediction of Wind Turbine Gearboxes with Long-Range Dependence
    Song, Wanqing
    Chen, Dongdong
    Zio, Enrico
    Yan, Wenduan
    Cai, Fan
    [J]. FRACTAL AND FRACTIONAL, 2022, 6 (10)
12345