Health monitoring method of the internal combustion engine based on the Random Convolutional Neural Networks

被引：0
作者：
Wang, Rui-Han [1 ,2 ]
Chen, Hui [1 ,2 ]
Guan, Cong [1 ,2 ]
机构：
[1] Key Laboratory of High Performance Ship Technology, Ministry of Education, Wuhan University of Technology, Wuhan,430063, China
[2] School of Energy and Power Engineering, Wuhan University of Technology, Wuhan,430063, China
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2021年 / 34卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Internal combustion engines
引用
收藏
页码：849 / 860
相关论文
共 50 条
  • [31] Multiple fault detection and isolation using artificial neural networks in sensors of an internal combustion engine
    Cervantes-Bobadilla, M.
    Garcia-Morales, J.
    Saavedra-Benitez, Y. I.
    Hernandez-Perez, J. A.
    Adam-Medina, M.
    Guerrero-Ramirez, G. V.
    Escobar-Jimenez, R. F.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [32] Application of artificial neural networks (ANN) for prediction the performance of a dual fuel internal combustion engine
    Department of Mechanical Engineering, University of Malaya, Malaysia
    不详
    Hong Kong Inst Eng Trans, 2009, 1 (14-20):
  • [33] Method of evaluating idle speed combustion stability for an internal combustion engine based on CPS signal
    Zhen, Long-Xin
    An, Zi-Jun
    Zhendong yu Chongji/Journal of Vibration and Shock, 2013, 32 (11): : 80 - 82
  • [34] Enhancing the credibility of an entropy-based structural health monitoring system using convolutional neural networks
    Saddek, Ahmed Abdalfatah
    Lin, Tzu-Kang
    Lin, Yi-Ting
    Kuo, Kai-Wei
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2025,
  • [35] Random convolutional neural network structure: An intelligent health monitoring scheme for diesel engines
    Wang, Ruihan
    Chen, Hui
    Guan, Cong
    MEASUREMENT, 2021, 171
  • [36] Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks
    Barnard, JP
    Aldrich, C
    PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 869 - 872
  • [37] Vibration signal denoising for structural health monitoring by residual convolutional neural networks
    Fan, Gao
    Li, Jun
    Hao, Hong
    MEASUREMENT, 2020, 157
  • [38] Monitoring of Transport Flow Emissions based on the Use of Convolutional Neural Networks
    Glushkov, A.
    Shepelev, V
    Shepelev, S.
    Magdin, K.
    Slobodin, I
    Burzev, A.
    Mavrin, V
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS (VEHITS), 2021, : 745 - 751
  • [39] RF-Based fall monitoring using convolutional neural networks
    2018, Association for Computing Machinery (02)
  • [40] A control chart for monitoring image processes based on convolutional neural networks
    Okhrin, Yarema
    Schmid, Wolfgang
    Semeniuk, Ivan
    STATISTICA NEERLANDICA, 2025, 79 (01)
12345