Research on Predicting Remaining Useful Life of Equipment Based on Health Index

被引:1
作者
Zheng, Gengzhe [1 ]
Wu, LiMing [1 ]
Wen, Tengteng [1 ]
Zheng, Chuntao [1 ]
Wang, Chunpeng [1 ]
Lin, Gengxuan [1 ]
机构
[1] Guangdong Univ Technol, Dept Electromech Engn, Guangzhou, Peoples R China
来源
PROCEEDINGS OF 2021 7TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS (CMMNO) | 2021年
基金
中国国家自然科学基金;
关键词
Remaining useful life prediction; Health index; Feature fusion;
D O I
10.1109/CMMNO53328.2021.9467613
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Intelligent maintenance strategies based on effective Remaining Useful Life (RUL) prediction can significantly reduce the waste of maintenance resources. In recent years, RUL prediction of equipment has been a hot topic and a huge challenge for many experts. In this paper, a prediction method of RUL for equipment based on health index is proposed. Firstly, the health factors of the equipment were obtained through feature screening and Principal Component Analysis (PCA) dimension reduction, and the health status of the equipment was evaluated. Then, based on the input data and labels constructed by Health Index (HI), the prediction model is obtained through Long Short Time Memory (LSTM) network training. The vibration signals from accelerated degradation tests of rolling bearings are used to verify the proposed method. Compared with the existing literature, the proposed method is proved to be effective in predicting RUL of equipment.
引用
收藏
页码:145 / 149
页数:5
相关论文
共 8 条
  • [1] [Anonymous], 2006, FERRET
  • [2] Multistream sensor fusion-based prognostics model for systems with single failure modes
    Fang, Xiaolei
    Paynabar, Kamran
    Gebraeel, Nagi
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 159 : 322 - 331
  • [3] A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability
    Li, Naipeng
    Lei, Yaguo
    Yan, Tao
    Li, Ningbo
    Han, Tianyu
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (03) : 2092 - 2101
  • [4] Remaining useful life estimation - A review on the statistical data driven approaches
    Si, Xiao-Sheng
    Wang, Wenbin
    Hu, Chang-Hua
    Zhou, Dong-Hua
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 213 (01) : 1 - 14
  • [5] Prognostic modelling options for remaining useful life estimation by industry
    Sikorska, J. Z.
    Hodkiewicz, M.
    Ma, L.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (05) : 1803 - 1836
  • [6] Sutrisno E., 2012, ESTIMATION REMAINING
  • [7] RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model
    Zhai, Qingqing
    Ye, Zhi-Sheng
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (06) : 2911 - 2921
  • [8] Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings
    Zhang, Bin
    Zhang, Lijun
    Xu, Jinwu
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (02) : 547 - 554