Application of time-frequency analysis for automatic hidden corrosion detection in a multilayer aluminum structure using pulsed eddy current

被引:46
作者
Hosseini, Saleh [1 ]
Lakis, Aouni A. [1 ]
机构
[1] Ecole Polytech, Sect Appl Mech, Dept Mech Engn, Montreal, PQ H3T1J4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Multi-layer aluminum structures; Pulsed eddy current; Time-frequency analysis; Feature extraction; K-means clustering; Expectation-maximization algorithm; CURRENT NDT; DEFECT CLASSIFICATION; FEATURE-EXTRACTION; CURRENT SIGNALS; INSPECTION; AIRCRAFT; SENSORS; PROBES;
D O I
10.1016/j.ndteint.2011.12.001
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Pulsed eddy current (PEC) is a non-destructive testing method used to detect corrosion and cracks in multilayer aluminum structures which are typically found in aircraft applications. Corrosion and metal loss in thin multi-layer structures are complex and variable phenomena that diminish the reliability of pulsed eddy current measurements. In this article, pulsed eddy current signals are processed to improve the accuracy and reliably of these measurements. PEC's results (time domain data) are converted by time-frequency analysis (Rihaczek distribution) to represent data in three dimensions. The time-frequency approach generates a large amount of data. Principal component analysis is applied as feature extraction to reduce redundant data to provide new features for classifiers. K-means clustering and expectation-maximization are applied to classify data and automatically determine corrosion distribution in each layer. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:70 / 79
页数:10
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