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

被引:43
|
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
相关论文
共 50 条
  • [21] Automatic Epileptic Seizure Detection in EEGs using Time-Frequency Analysis and Probabilistic Neural Network
    Madhu, Aswathy
    Jayasree, V. K.
    Thomas, Vinu
    2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC), 2012, : 94 - 97
  • [22] Early Detection and Monitoring of Corrosion in Reinforced Concrete Structures Using Coupled Time-Frequency Analysis
    Thirumalaiselvi, A.
    Sasmal, Saptarshi
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2024, 36 (08)
  • [23] Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis
    Omidvarnia, Amir
    Warren, Aaron E. L.
    Dalic, Linda J.
    Pedersen, Mangor
    Jackson, Graeme
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 133
  • [24] Time-Frequency Analysis of GPR Signal for Cavities Detection Application
    Harkat, Houda
    Dosse, Saad Bennani
    Slimani, Abdellatif
    PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015, VOL 1, 2016, 380 : 107 - 117
  • [25] Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability
    Tsipouras, MG
    Fotiadis, DI
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2004, 74 (02) : 95 - 108
  • [26] Blind Detection of Frequency Hopping Signal Using Time-Frequency Analysis
    Luan Haiyan
    Jiang Hua
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [27] Automatic seizure detection using a highly adaptive directional time-frequency distribution
    Mohammadi, Mokhtar
    Khan, Nabeel Ali
    Pouyan, Ali Akbar
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2018, 29 (04) : 1661 - 1678
  • [28] Simulation and experimental study on planar remote field eddy current detection of hidden defects in aircraft multilayer structure
    Song, Kai
    Fu, Shaodong
    Ning, Ning
    Fan, Junling
    Cui, Ximing
    NONDESTRUCTIVE TESTING AND EVALUATION, 2023,
  • [29] Automatic detection of cardiac cycle based on an adaptive time-frequency analysis of the phonocardiogram
    Sava, H
    Durand, LG
    PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING, 1997, 19 : 1316 - 1319
  • [30] INTELLIGENT METHOD FOR CORROSION DETECTION AND QUANTIFICATION IN AIRCRAFT LAP JOINTS USING PULSED EDDY CURRENT
    Safizadeh, M.S.
    Malekan, M.R.
    Materials Evaluation, 2024, 82 (04) : 53 - 62