A DEFECT EVALUATION METHODOLOGY BASED ON MULTIPLE MAGNETIC FLUX LEAKAGE (MFL) TESTING SIGNAL EIGENVALUES

被引:21
作者
Sun, Yanhua [1 ]
Liu, Shiwei [1 ]
Ye, Zhijian [1 ]
Chen, Shaobo [1 ]
Zhou, Qian [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, 1037 Luoyu Rd, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
defects evaluation; defect parameters; detection status information; multiple MFL signal eigenvalues; signal analysis;
D O I
10.1080/09349847.2015.1039100
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
This article is based on the associated linearity of magnetic flux leakage signal eigenvalues and detection status information, proposing a methodology that applies multiple magnetic flux leakage signal eigenvalues to evaluate defects and goes a step further in conforming the limitation of the traditional evaluation system, which merely uses signal peak values. In response to the situation that magnetic flux leakage testing signal peak values have been applied as the main parameters to evaluate defects and carry out various related research, we find that the single magnetic flux leakage testing signal peak values cannot exactly represent the leakage magnetic field and reflect the information of the defects. So we attempt to come up with a new way of defects evaluation to better and more accurately evaluate defects. By means of simulation analysis in simulation software ANSYS and experimental verification, the linear relationships between multiple magnetic flux leakage signal eigenvalues and defect parameters through which we can exactly evaluate the defects are obtained, respectively. Finally, the validity of this evaluation system is firmly demonstrated by a practical defect.
引用
收藏
页码:1 / 25
页数:25
相关论文
共 11 条
[1]   Defect localization by orthogonally projected multiple signal classification approach for magnetic flux leakage fields [J].
Baskaran, R. ;
Janawadkar, M. P. .
NDT & E INTERNATIONAL, 2008, 41 (06) :416-419
[2]   Reconstruction of crack shapes from the MFLT signals by using a rapid forward solver and an optimization approach [J].
Chen, ZM ;
Preda, G ;
Mihalache, O ;
Miya, K .
IEEE TRANSACTIONS ON MAGNETICS, 2002, 38 (02) :1025-1028
[3]   3-d FEM simulation of velocity effects on magnetic flux leakage testing signals [J].
Du Zhiye ;
Ruan Jiangjun ;
Peng Ying ;
Yu Shifeng ;
Zhang Yu ;
Gan Yan ;
Li Tianwei .
IEEE TRANSACTIONS ON MAGNETICS, 2008, 44 (06) :1642-1645
[4]   Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm [J].
Han, Wenhua ;
Shen, Xiaohui ;
Xu, Jun ;
Wang, Ping ;
Tian, Guiyun ;
Wu, Zhengyang .
SENSORS, 2014, 14 (09) :16454-16466
[5]   Modeling of the yoke-magnetization in MFL-testing by finite elements [J].
Katoh, M ;
Masumoto, N ;
Nishio, K ;
Yamaguchi, T .
NDT & E INTERNATIONAL, 2003, 36 (07) :479-486
[6]   Analysis and Depth Estimation of Complex Defects on the Underground Gas Pipelines [J].
Kim, Jong-Hwa ;
Kim, Min-Ho ;
Choi, Doo-Hyun .
JOURNAL OF MAGNETICS, 2013, 18 (02) :202-206
[7]   A model for magnetic flux leakage signal predictions [J].
Mandache, C ;
Clapham, L .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2003, 36 (20) :2427-2431
[8]   A study of magnetic flux-leakage signals [J].
Mandal, K ;
Atherton, DL .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 1998, 31 (22) :3211-3217
[9]   Method for sizing of 3-D surface breaking flaws by leakage flux [J].
Minkov, D ;
Shoji, T .
NDT & E INTERNATIONAL, 1998, 31 (05) :317-324
[10]   Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements [J].
Ravan, Maryam ;
Amineh, Reza Khalaj ;
Koziel, Slawomir ;
Nikolova, Natalia K. ;
Reilly, James P. .
IEEE TRANSACTIONS ON MAGNETICS, 2010, 46 (04) :1024-1033