On-line rail defect diagnosis with differential eddy current probes and specific detection processing

被引:26
作者
Bentoumi, M
Aknin, P
Bloch, G
机构
[1] INRETS, F-94114 Arcueil, France
[2] ESSTIN, CRAN, UMR CNRS 7039, F-54519 Vandoeuvre Les Nancy, France
关键词
D O I
10.1051/epjap:2003055
中图分类号
O59 [应用物理学];
学科分类号
摘要
This paper presents a nondestructive evaluation system for rail inspection with a device embedded in a subway train. The difficult operating conditions lead to the design of a specific double-coils and double-frequencies sensor that delivers 8 complementary signals. After the presentation of the technological solution,the paper deals with the detection of minor defects and presents three approaches: the first one is a time heuristic approach, the second one is based on wavelet basis projections, and the last one implements an inverse filtering which allows the transformation of the differential probe outputs into estimated absolute ones. The methods are validated statistically on a labeled defect data set with the help of ROC curves.
引用
收藏
页码:227 / 233
页数:7
相关论文
共 8 条
[1]  
AKNIN P, 2000, SYSTEMES MULTICAPTEU, V2
[2]  
BENTOUMI M, 2001, ADV SIGNAL PROCESS N, V4, P6
[3]  
Hayes Monson H., 1996, STAT DIGITAL SIGNAL
[4]  
JOUBERT PY, 1999, QUANT NONDESTRUCT EV, V19, P823
[5]   Hybrid training of radial basis function networks in a partitioning context of classification [J].
Oukhellou, L ;
Aknin, P .
NEUROCOMPUTING, 1999, 28 :165-175
[6]  
OUKHELLOU L, 1997, THESIS U PARIS 11
[7]  
Ragot J., 1990, VALIDATION DONNEES D
[8]  
SREANG T, 1996, WAVELETS FILTER BANK