The Use of Artificial Neural Networks in Nondestructive Testing of Aircraft Parts

被引：0
|
作者：
Goncharenko, V.I. [1 ]
Oleshko, V.S. [1 ]
机构：
[1] Moscow Aviation Institute (National Research University), Volokolamskoe sh. 4, Moscow,125993, Russia
来源：
Russian Aeronautics | 2024年 / 67卷 / 03期
关键词：
Aircraft materials;
D O I：
10.3103/S1068799824030048
中图分类号：
学科分类号：
摘要：
Abstract: A methodology for nondestructive testing of aircraft parts based on the use of artificial intelligence methods has been proposed. A special feature of the developed methodology is the use of machine learning when analyzing the inspection results. The factors influencing the effectiveness of using the artificial intelligence methods in the inspection of aircraft parts are analyzed. A practical example shows the use of artificial neural networks in solving problems of processing the results of measurements of contact potential differences on the surface of metals and alloys. © Allerton Press, Inc. 2024.
引用
收藏
页码：497 / 503
页数：6
相关论文
共 50 条
  • [31] TESTING AIRCRAFT PARTS BY NDT METHODS
    WOLF, KG
    METAL PROGRESS, 1971, 100 (02): : 57 - &
  • [32] Validation of nondestructive methods for assessing stone masonry using artificial neural networks
    Martini, Rachel
    Carvalho, Jorge
    Arede, Antonio
    Varum, Humberto
    JOURNAL OF BUILDING ENGINEERING, 2021, 42
  • [33] Mutation Testing for Artificial Neural Networks: An Empirical Evaluation
    Klampfl, Lorenz
    Chetouane, Nour
    Wotawa, Franz
    2020 IEEE 20TH INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY, AND SECURITY (QRS 2020), 2020, : 356 - 365
  • [34] Testing selected optimal descriptors with artificial neural networks
    Pogliani, Lionello
    Vicente de Julian-Ortiz, Jesus
    RSC ADVANCES, 2013, 3 (34): : 14710 - 14721
  • [35] Nondestructive prediction of physicochemical properties of kimchi sauce with artificial and convolutional neural networks
    Yang, Hae-Il
    Min, Sung-Gi
    Seo, Hye-Young
    Lee, Seong Youl
    Yang, Ji-Hee
    Lee, Mi-Ai
    Park, Sung-Hee
    Eun, Jong-Bang
    Chung, Young Bae
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2023, 26 (02) : 2924 - 2938
  • [36] Managing and control of aircraft power plant using artificial neural networks
    Kopytov, Eugene
    Labendik, Vladimir
    Funusov, Sergey
    Tarasov, Alexey
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE RELIABILITY AND STATISTICS IN TRANSPORTATION AND COMMUNICATION (RELSTAT'07), 2007, : 215 - 218
  • [37] THE USE OF ARTIFICIAL NEURAL NETWORKS IN PLASMA SPECTROSCOPY
    MORGAN, WL
    LARSEN, JT
    GOLDSTEIN, WH
    JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 1994, 51 (1-2): : 247 - 253
  • [38] The use of artificial neural networks for data analysis
    Gavrilov, AV
    Kangler, VM
    KORUS '99: THIRD RUSSIAN-KOREAN INTERNATIONAL SYMPOSIUM ON SCIENCE AND TECHNOLOGY, VOLS 1 AND 2, 1999, : 257 - 260
  • [39] USE OF ARTIFICIAL NEURAL NETWORKS TO PREDICT PHARMACOKINETICS
    BRIER, ME
    CLINICAL RESEARCH, 1993, 41 (03): : A662 - A662
  • [40] Forecasting Chemical Characteristics of Aircraft Fuel Using Artificial Neural Networks
    Rocha, Felipe Valverde
    Lha, Koshun
    Grandi de Tolos, Thiago Antonio
    JOURNAL OF AEROSPACE TECHNOLOGY AND MANAGEMENT, 2021, 13
12345