Steel Rope Diagnostics by Magnetic NDT: From Defect Detection to Automated Condition Monitoring

被引：0
|
作者：
Sukhorukov, Vasily V. [1 ]
机构：
[1] INTRON PLUS Ltd, Moscow, Russia
来源：
MATERIALS EVALUATION | 2021年 / 79卷 / 05期
关键词：
D O I：
暂无
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
引用
收藏
页码：439 / 445
页数：7
相关论文
共 50 条
  • [31] Pulsed Magnetic Flux Leakage Testing for Defect Detection on Steel-pipe
    Tang Ying
    Luo FeiLu
    Pan MengChun
    Li Ji
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 9 - 12
  • [32] Diagnostics of technical state of underground gas storage wells by methods of magnetic pulsed defect detection
    Arutyunov, A.E.
    Shamshin, V.I.
    Zubarev, A.P.
    Vensko, S.A.
    Liberman, G.I.
    Gazovaya Promyshlennost, 2002, (10): : 41 - 45
  • [33] Magnetic methods in monitoring changes of the technical condition of splices in steel cord conveyor belts
    Kozlowski, Tomasz
    Blazej, Ryszard
    Jurdziak, Leszek
    Kirjanow-Blazej, Agata
    ENGINEERING FAILURE ANALYSIS, 2019, 104 : 462 - 470
  • [34] Automated Defect Detection From Ultrasonic Images Using Deep Learning
    Medak, Duje
    Posilovic, Luka
    Subasic, Marko
    Budimir, Marko
    Loncaric, Sven
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2021, 68 (10) : 3126 - 3134
  • [35] Early stage crack detection in mechanically joined steel/aluminum joints by condition monitoring
    Giese, Patrick
    Hein, David
    Meschui, Gerson
    Gollnick, Maik
    Herfert, Daniel
    MATERIALS TESTING, 2020, 62 (09) : 877 - 882
  • [36] This paper examines how MFL is used as the basis for an automated wire rope condition monitoring system, in which the human factor is completely removed.
    Sukhorukov, Vasily V.
    Sukhorukov, Vasily V. (vsukhorukov@intron-plus.com), 1600, American Society for Nondestructive Testing (79): : 439 - 445
  • [37] Automated surface defect detection in forged parts by inductively excited thermography and magnetic particle inspection
    Lugin, Sergey
    Mueller, David
    Finckbohner, Michael
    Netzelmann, Udo
    QUANTITATIVE INFRARED THERMOGRAPHY JOURNAL, 2025, 22 (01) : 41 - 53
  • [38] Automated steel surface defect detection and classification using a new deep learning-based approach
    Demir, Kursat
    Ay, Mustafa
    Cavas, Mehmet
    Demir, Fatih
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (11): : 8389 - 8406
  • [39] Automated On-line Fast Detection for Surface Defect of Steel Strip Based on Multivariate Discriminant Function
    Liu Weiwei
    Yan Yunhui
    Li Jun
    Zhang Yao
    Sun Hongwei
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 493 - 497
  • [40] Automated steel surface defect detection and classification using a new deep learning-based approach
    Kursat Demir
    Mustafa Ay
    Mehmet Cavas
    Fatih Demir
    Neural Computing and Applications, 2023, 35 : 8389 - 8406
12345