Dynamic Bayesian networks for predicting remaining useful life of equipment

被引：0
|
作者：
School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai 200030, China [1 ]
机构：
来源：
Jisuanji Jicheng Zhizao Xitong | 2007年 / 9卷 / 1811-1815期
关键词：
13;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [31] Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations
    Mazaev, Tamir
    Crevecoeur, Guillaume
    Van Hoecke, Sofie
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (12) : 8418 - 8428
  • [32] GPT-based equipment remaining useful life prediction
    Wang, Peiwen
    Niu, Shaozhang
    Cui, Haoliang
    Zhang, Wen
    PROCEEDINGS OF THE ACM TURING AWARD CELEBRATION CONFERENCE-CHINA 2024, ACM-TURC 2024, 2024, : 159 - 164
  • [33] Prediction of remaining useful life for mech equipment using regression
    Bakir, A. A.
    Zaman, M.
    Hassan, A.
    Hamid, M. F. A.
    INTERNATIONAL CONFERENCE ON MECHANICAL AND MANUFACTURING ENGINEERING (ICME2018), 2019, 1150
  • [34] A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
    Zhang, Yangyang
    Fang, Liqing
    Qi, Ziyuan
    Deng, Huiyong
    IEEE SENSORS JOURNAL, 2023, 23 (24) : 29991 - 30006
  • [35] Prediction of remaining useful life for equipment with partially observed information
    Li, W. (ythylwh@vip.163.com), 1600, AAAS Press of Chinese Society of Aeronautics and Astronautics (33):
  • [36] Remaining Useful Life Prediction of a Semiconductor Manufacturing Equipment Unit
    El Jamal, Dima
    Ananou, Bouchra
    Graton, Guillaume
    Ouladsine, Mustapha
    Pinaton, Jacques
    IFAC PAPERSONLINE, 2023, 56 (02): : 11924 - 11929
  • [37] Remaining Useful Life of Corroded Piping Based on Bayesian Network
    Martha de Souza, Gilberto Francisco
    Veruz, Edilson Gabriel
    Miguel, Mateus Mendes
    2023 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, RAMS, 2023,
  • [38] REMAINING USEFUL TOOL LIFE PREDICTIONS USING BAYESIAN INFERENCE
    Karandikar, Jaydeep
    McLeay, Tom
    Turner, Sam
    Schmitz, Tony
    PROCEEDINGS OF THE ASME 8TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2013, VOL 2, 2013,
  • [39] Bayesian Estimation of Remaining Useful Life for Wind Turbine Blades
    Nielsen, Jannie S.
    Sorensen, John D.
    ENERGIES, 2017, 10 (05):
  • [40] Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
    Gugulothu, Narendhar
    Vishnu, T. V.
    Malhotra, Pankaj
    Vig, Lovekesh
    Agarwal, Puneet
    Shroff, Gautam
    INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2018, 9 (01)
12345