Sum of Gaussian Feature-Based Symbolic Representations of Eddy Current Defect Signatures

被引：3
作者：
Earnest, James [1 ,2 ]
机构：
[1] Tinker AFB, 76 Software Engn Grp USAF, Midwest City, OK USA
[2] Tinker AFB, 76 Software Engn Grp, Midwest City, OK 73145 USA
来源：
RESEARCH IN NONDESTRUCTIVE EVALUATION | 2023年 / 34卷 / 3-4期
关键词：
Eddy current; differential coil; pattern recognition; time series symbolic representation; machine learning; FAULT-DETECTION;
D O I：
10.1080/09349847.2023.2217094
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
This study investigates a novel symbolic representation method based on Symbolic Aggregate Approximation (SAX) of time series that focuses on differential coil (D-coil) eddy current (EC) defect responses. The method uses the Sum of Gaussian (SoG) approximation of the defect response, Fuzzy C-means (FCM) clustering, and the extrema values in the approximation to provide a reduced representation that can effectively analyze possible fault conditions in the defect response. Comparisons to existing SAX methods are performed with the new method indicating significant classification accuracy improvement.
引用
收藏
页码：136 / 153
页数：18
相关论文
共 40 条
  • [11] Brasche L, 2002, MATER EVAL, V60, P853
  • [12] Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing
    Carlton, Ashley
    Morgan, Rachel
    Lohmeyer, Whitney
    Cahoy, Kerri
    [J]. JOURNAL OF AEROSPACE INFORMATION SYSTEMS, 2018, 15 (05): : 239 - 252
  • [13] Cherkassky V, 1997, IEEE Trans Neural Netw, V8, P1564, DOI 10.1109/TNN.1997.641482
  • [14] NEAREST NEIGHBOR PATTERN CLASSIFICATION
    COVER, TM
    HART, PE
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1967, 13 (01) : 21 - +
  • [15] Series DC Arc Fault Detection Using Machine Learning Algorithms
    Dang, Hoang-Long
    Kim, Jaechang
    Kwak, Sangshin
    Choi, Seungdeog
    [J]. IEEE ACCESS, 2021, 9 : 133346 - 133364
  • [16] Dehariya V. K., 2010, Proceedings of the 2010 International Conference on Computational Intelligence and Communication Networks (CICN 2010), P386, DOI 10.1109/CICN.2010.80
  • [17] Ding M., 2005, P IEEE C IEEE COMP C, V2, DOI [10.1109/INFCOM.2005.1498320, DOI 10.1109/INFCOM.2005.1498320]
  • [18] Dosilovic FK, 2018, 2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), P210, DOI 10.23919/MIPRO.2018.8400040
  • [19] An Algorithm for Automated Feature Detection of Eddy Current Defects Using Sum of Gaussian Method
    Earnest, James W.
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70 (70)
  • [20] Support vector machine and optimised feature extraction in integrated eddy current instrument
    He, Yunze
    Pan, Mengchun
    Luo, Feilu
    Chen, Dixiang
    Hu, Xiangchao
    [J]. MEASUREMENT, 2013, 46 (01) : 764 - 774
1234