Air Leak Material Identification in Pressurized Space Vehicles using a Convolutional Neural Network

被引：0
|
作者：
Bundy, Kenneth R. [1 ]
Abedi, Ali [1 ]
机构：
[1] Univ Maine, Dept Elect & Comp Engn, Wireless Sensor Networks WiSe Net Lab, Orono, ME 04473 USA
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON WIRELESS FOR SPACE AND EXTREME ENVIRONMENTS (WISEE) | 2017年
基金：
美国国家航空航天局;
关键词：
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Pressurized space vehicles of all types are at risk of depressurization due to leaking air. Leaks may be caused by micro-meteor and orbital debris (MMOD) impact or structural aging and failure overtime. This paper addresses the issue of leak type detection by analyzing airborne ultrasonic waves using a Convolutional Neural Network. Depending on the vessel material, size of the leak, and pressure gradient, different waveforms are produced. Once a large number of samples have been recorded, the resulting data is used for the training of a Convolutional Neural Network for leak classification.
引用
收藏
页码：150 / 152
页数：3
相关论文
共 50 条
  • [1] Space Target Material Identification Based on Graph Convolutional Neural Network
    Li, Na
    Gong, Chengeng
    Zhao, Huijie
    Ma, Yun
    REMOTE SENSING, 2023, 15 (07)
  • [2] Air-Leak Localization in Pressurized Space Structures
    Abedi A.
    IEEE Potentials, 2020, 39 (04): : 24 - 27
  • [3] Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram
    Chan, Hsiao-Lung
    Chang, Hung-Wei
    Hsu, Wen-Yen
    Huang, Po-Jung
    Fang, Shih-Chin
    SENSORS, 2023, 23 (06)
  • [4] Underwater Gas Leak Quantification by Convolutional Neural Network Using Images
    Caldas, Gustavo Luis Rodrigues
    Moreira, Roger Matsumoto
    de Souza Jr, Mauricio B.
    PROCESSES, 2025, 13 (01)
  • [5] Vehicle Detection using Convolutional Neural Network for Autonomous Vehicles
    Tarmizi, Izzah Amani
    Abd Aziz, Azrina
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON), 2018,
  • [6] Vortex Boundary Identification using Convolutional Neural Network
    Berenjkoub, Marzieh
    Chen, Guoning
    Gunther, Tobias
    2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020), 2020, : 261 - 265
  • [7] Skin Identification Using Deep Convolutional Neural Network
    Oghaz, Mahdi Maktab Dar
    Argyriou, Vasileios
    Monekosso, Dorothy
    Remagnino, Paolo
    ADVANCES IN VISUAL COMPUTING, ISVC 2019, PT I, 2020, 11844 : 181 - 193
  • [8] Identification of Cattle Breed using the Convolutional Neural Network
    Manoj, Sreenand
    Rakshith, S.
    Kanchana, V
    ICSPC'21: 2021 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICPSC), 2021, : 503 - 507
  • [9] IDENTIFICATION OF DEFECTIVE CHERRIES USING CONVOLUTIONAL NEURAL NETWORK
    Kaygisiz, Halil
    Cakir, Abdulkadir
    FRESENIUS ENVIRONMENTAL BULLETIN, 2022, 31 (06): : 5492 - 5498
  • [10] Neuropsychiatric Disorders Identification Using Convolutional Neural Network
    Lin, Chih-Wei
    Ding, Qilu
    MULTIMEDIA MODELING, MMM 2019, PT II, 2019, 11296 : 315 - 327
12345