RUL Prediction Method of a Rolling Bearing Based on Improved SAE and Bi-LSTM

被引：0
|
作者：
Kang, Shou-Qiang [1 ]
Zhou, Yue [1 ]
Wang, Yu-Jing [1 ]
Xie, Jin-Bao [1 ]
Mikulovich, Vladimir Ivanovich [2 ]
机构：
[1] College of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin,150000, China
[2] Belarusian State University, Minsk,220030, Belarus
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2022年 / 48卷 / 09期
关键词：
D O I：
10.16383/j.aas.c190796
中图分类号：
学科分类号：
摘要：
22
引用
收藏
页码：2327 / 2336
相关论文
共 50 条
  • [1] An Improved Generating Energy Prediction Method Based on Bi-LSTM and Attention Mechanism
    He, Bo
    Ma, Runze
    Zhang, Wenwei
    Zhu, Jun
    Zhang, Xingyuan
    [J]. ELECTRONICS, 2022, 11 (12)
  • [2] Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing
    Dong, Shaojiang
    Xiao, Jiafeng
    Hu, Xiaolin
    Fang, Nengwei
    Liu, Lanhui
    Yao, Jinbao
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 230
  • [3] Ship Trajectory Prediction Model Based on Improved Bi-LSTM
    Li, Weifeng
    Lian, Yifan
    Liu, Yaochen
    Shi, Guoyou
    [J]. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 2024, 10 (03):
  • [4] RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
    Yao, Xuejian
    Zhu, Junjun
    Jiang, Quansheng
    Yao, Qin
    Shen, Yehu
    Zhu, Qixin
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (03)
  • [5] Motor bearing fault prediction based on grasshopper optimized Bi-LSTM network
    Yu, Fei
    Fan, Qing-Chuan
    Xuan, Min
    [J]. Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2022, 26 (06): : 9 - 17
  • [6] Prediction of Bearing Vibration Fault State based on Fused Bi-LSTM and SVM
    Qingbo, Zhu
    Han, JiaLin
    Shi, Cheng
    Gao, Haoling
    [J]. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2023, 67 (04)
  • [7] Remaining useful life prediction of rolling bearing based on multi-head attention embedded Bi-LSTM network
    Shen, Yizhe
    Tang, Baoping
    Li, Biao
    Tan, Qian
    Wu, Yanling
    [J]. MEASUREMENT, 2022, 202
  • [8] Lightweight Bi-LSTM method for the prediction of mechanical properties of concrete
    Prem Anand M.
    Anand M.
    Adams Joe M.
    Sahaya Ruben J.
    [J]. Multimedia Tools and Applications, 2024, 83 (18) : 54863 - 54884
  • [9] Convolutional neural network based on attention mechanism and Bi-LSTM for bearing remaining life prediction
    Jiahang Luo
    Xu Zhang
    [J]. Applied Intelligence, 2022, 52 : 1076 - 1091
  • [10] Convolutional neural network based on attention mechanism and Bi-LSTM for bearing remaining life prediction
    Luo, Jiahang
    Zhang, Xu
    [J]. APPLIED INTELLIGENCE, 2022, 52 (01) : 1076 - 1091
12345