Improved machine learning models with a similarity-based approach for remaining useful life prediction

被引：0
|
作者：
Isbilen, F. [1 ]
Bektas, O. [2 ]
Avsar, R. [2 ]
Konar, M. [3 ]
机构：
[1] Aircraft Technology, Rumeli University, Istanbul, Turkey
[2] Faculty of Engineering and Natural Sciences, Istanbul Medeniyet University, Istanbul, Turkey
[3] Faculty of Aeronautics and Astronautics, Erciyes University, Kayseri, Turkey
来源：
Aeronautical Journal | 2024年
关键词：
Predictive maintenance;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories
    Cannarile, Francesco
    Baraldi, Piero
    Zio, Enrico
    FUZZY SETS AND SYSTEMS, 2019, 367 : 36 - 50
  • [42] Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning Machine
    Berghout, Tarek
    Mouss, Leila-Hayet
    Kadri, Ouahab
    Saidi, Lotfi
    Benbouzid, Mohamed
    APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [43] A Framework of Multi-Index Modeling for Similarity-Based Remaining Useful Life Estimation
    Gu, Mengyao
    Chen, Youling
    2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2016, : 31 - 37
  • [44] A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction
    Lei, Yaguo
    Li, Naipeng
    Lin, Jing
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 65 (12) : 2671 - 2684
  • [45] A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings
    Cheng, Cheng
    Ma, Guijun
    Zhang, Yong
    Sun, Mingyang
    Teng, Fei
    Ding, Han
    Yuan, Ye
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 25 (03) : 1243 - 1254
  • [46] Remaining Useful Life Prediction Based on Incremental Learning
    Que, Zijun
    Jin, Xiaohang
    Xu, Zhengguo
    Hu, Chang
    IEEE TRANSACTIONS ON RELIABILITY, 2024, 73 (02) : 876 - 884
  • [47] MACHINE LEARNING REGRESSION MODELS FOR TURBOFAN ENGINES: A COMPARATIVE STUDY ON REMAINING USEFUL LIFE PREDICTION
    Omer, Zahi M.
    Al Seiari, Abdulla
    Cen, Zhaohui
    Bilendo, Francisco
    PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 1, 2024,
  • [48] A review of remaining useful life prediction for stochastic degrading devices based on machine learning
    Zhang, Bo
    Hu, Changhua
    Zhang, Hao
    Zheng, Jianfei
    Zhang, Jianxun
    Mou, Hanxiao
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2024, 45 (09): : 1783 - 1790
  • [49] Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes
    Xu, Yuhui
    Xia, Tangbin
    Wang, Dong
    Chen, Zhen
    Pan, Ershun
    Xi, Lifeng
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
  • [50] Remaining useful life prediction of aeroengine based on SSAE and similarity matching
    Wang, Kun
    Guo, Yingqing
    Zhao, Wanli
    Zhou, Qifan
    Guo, Pengfei
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2023, 49 (10): : 2817 - 2825
12345