Data-driven pressure prediction for self-pressurization liquid hydrogen tank using transfer learning method

被引：0
|
作者：
Qu, Zhiyuan [1 ]
Lu, Jiahao [2 ]
Ma, Zhenxi [1 ]
Cai, Zhicheng [1 ]
Zhang, Xiao [3 ]
Cai, Liang [1 ,4 ,5 ]
机构：
[1] School of Energy and Environment, Southeast University, Nanjing,210096, China
[2] School of Computing, National University of Singapore, 117417, Singapore
[3] School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing,211167, China
[4] Institute for Carbon Neutral Development, Southeast University, Nanjing,210096, China
[5] Institute of Science and Technology for Carbon Neutrality, Southeast University, Nanjing,210096, China
来源：
International Journal of Hydrogen Energy | 2024年 / 93卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
10.1016/j.ijhydene.2024.10.422
中图分类号：
学科分类号：
摘要：
Prediction models - Tanks (containers) - Transfer learning
引用
下载
收藏
页码：1393 / 1403
相关论文
共 50 条
  • [41] Data-driven design of high pressure hydride superconductors using DFT and deep learning
    Wines, Daniel
    Choudhary, Kamal
    MATERIALS FUTURES, 2024, 3 (02):
  • [42] Data-driven rated power prediction of diesel engines using improved multi-class imbalanced learning method
    Guo, Liangxun
    Zhuang, Zilong
    Sun, Yanning
    Qin, Wei
    30TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2021), 2020, 51 : 324 - 329
  • [43] Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system
    Liu, Daoyuan
    Guo, Yu
    Huang, Shaohua
    Wang, Shengbo
    Wu, Tao
    ADVANCED ENGINEERING INFORMATICS, 2023, 58
  • [44] A study on the sensor calibration method using data-driven prediction in VAV terminal unit
    Kim, Hyo-Jun
    Cho, Young-Hum
    Lee, Sang-Hoon
    ENERGY AND BUILDINGS, 2022, 258
  • [45] A data-driven framework to new product demand prediction: Integrating product differentiation and transfer learning approach
    Afrin, Kahkashan
    Nepal, Bimal
    Monplaisir, Leslie
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 108 : 246 - 257
  • [46] Data-Driven Calibration of Rough Heat Transfer Prediction Using Bayesian Inversion and Genetic Algorithm
    Ignatowicz, Kevin
    Solai, Elie
    Morency, Francois
    Beaugendre, Heloise
    ENERGIES, 2022, 15 (10)
  • [47] Data-Driven Method for Flow Sensing of Aerodynamic Parameters Using Distributed Pressure Measurements
    Zhou, Kaiwen
    Zhou, Luanliang
    Zhao, Simeng
    Qiang, Xingyu
    Liu, Yingzheng
    Wen, Xin
    AIAA JOURNAL, 2021, 59 (09) : 3504 - 3516
  • [48] Data-driven prognostic method based on self-supervised learning approaches for fault detection
    Tian Wang
    Meina Qiao
    Mengyi Zhang
    Yi Yang
    Hichem Snoussi
    Journal of Intelligent Manufacturing, 2020, 31 : 1611 - 1619
  • [49] Data-driven prognostic method based on self-supervised learning approaches for fault detection
    Wang, Tian
    Qiao, Meina
    Zhang, Mengyi
    Yang, Yi
    Snoussi, Hichem
    JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 31 (07) : 1611 - 1619
  • [50] Data-Driven Diagnosis of PMSM Drive With Self-Sensing Signal Visualization and Deep Transfer Learning
    Li, Zheng
    Wang, Fengxiang
    Xie, Haotian
    Ke, Dongliang
    Ye, Tinglan
    Davari, S. Alireza
    Kennel, Ralph
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2024, 39 (02) : 1011 - 1023
12345