RIMER based Remaining Useful Life Estimation of Aero-Engine

被引:0
|
作者
You, Yaqian [1 ]
Sun, Jianbin [1 ]
Jiang, Jiang [1 ]
Yang, Kewei [1 ]
Ge, Bingfeng [1 ]
机构
[1] Natl Univ Def Technol, Coll Syst Engn, Changsha 410003, Peoples R China
基金
中国国家自然科学基金;
关键词
EVIDENTIAL REASONING APPROACH; EXPERT-SYSTEM; RULE; MODEL;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Remaining useful life (RUL) estimation of aero-engine is a significant part of the aircraft reliability improvement and operational cost reduction. In order to solve the waste of performance data, in this study, a belief rule-based inference methodology using the evidential reasoning (RIMER) based RUL estimation process is proposed. Firstly, we take the principal component analysis (PCA) and the differential evolution (DE) algorithm to optimize the structure and parameter of the belief rule base (BRB), and then estimate the RUL of aero-engine through evidential reasoning (ER) algorithm. The practical case is investigated to validate the feasibility and efficiency of the proposed method. The experimental results show the RIMER based RUL estimation of aero-engine can support decision-making in the fields of aircraft prognostic and health management.
引用
收藏
页码:2701 / 2706
页数:6
相关论文
共 50 条
  • [1] Aero-Engine Remaining Useful Life Estimation Based on Multi-Head Networks
    Ren, Likun
    Qin, Haiqin
    Xie, Zhenbo
    Li, Bianjiang
    Xu, Kejun
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [2] The Research of Civil Aero-Engine Remaining Useful Life Estimation Based on Gaussian Process
    Wu, Rui
    Liu, Chao
    Jiang, Dongxiang
    [J]. INTERNATIONAL CONGRESS AND WORKSHOP ON INDUSTRIAL AI 2021, 2022, : 12 - 23
  • [3] Remaining Useful Life Prediction for Aero-Engine Based on LSTM and CNN
    Ruan, Diwang
    Wu, Yuheng
    Yan, Jianping
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 6706 - 6712
  • [4] Aero-Engine Remaining Useful Life Estimation Based on CAE-TCN Neural Networks
    Ren, Guanghao
    Wang, Yun
    Shi, Zhenyun
    Zhang, Guigang
    Jin, Feng
    Wang, Jian
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (01):
  • [5] An Improved Similarity-based Prognostics Method for Remaining Useful Life Estimation of Aero-Engine
    Han Bingjie
    Niu Wei
    Wang Jichao
    [J]. 2021 IEEE/ACIS 21ST INTERNATIONAL FALL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2021-FALL), 2021, : 38 - 41
  • [6] Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation
    Hu, Qiankun
    Zhao, Yongping
    Ren, Lihua
    [J]. IEEE ACCESS, 2023, 11 : 52668 - 52685
  • [7] Remaining useful life prediction for aero-engine based on the similarity of degradation characteristics
    Zhang, Yan
    Wang, Cunsong
    Lu, Ningyun
    Jiang, Bin
    [J]. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2019, 41 (06): : 1414 - 1421
  • [8] Prediction method of remaining useful life of aero-engine based on long sequence
    Guo, Junfeng
    Liu, Guohua
    Liu, Guowei
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2024, 50 (03): : 774 - 784
  • [9] Prediction of Remaining Useful Life of Aero-Engine Based on Stacked Autoencoder and DeepAR
    Li, Hao
    Wang, Zhuo-Jian
    Li, Zhe
    Chen, Xuan
    Li, Yuan
    [J]. Tuijin Jishu/Journal of Propulsion Technology, 2022, 43 (11):
  • [10] 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