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author:

Zeng, Huade (Zeng, Huade.) [1] | Huang, Ruochen (Huang, Ruochen.) [2] | Xia, Zihan (Xia, Zihan.) [3] | Lin, Qiongbin (Lin, Qiongbin.) [4] | Yin, Wuliang (Yin, Wuliang.) [5]

Indexed by:

EI

Abstract:

Eddy current testing (ECT), as a noncontact and nondestructive testing (NDT) technology, has been widely applied to various industrial fields for pipeline defect detection. In this article, a combined defect parameter estimation method using a novel arc-shaped differential probe with orthogonal receivers is proposed to detect circumferential defects in pipelines. The sensitivity between coils is analyzed to optimize the probe parameters. The scanning signals of defects on the complex plane are characterized by the shell curves (SCs), and a Lissajous curve (LC) model is employed for curve fitting. It is observed that a monotonous relationship holds between fitting parameters and defect dimensions. From the fit scanning curve, the defect depth and length can be estimated by employing the K-nearest neighbors (KNNs) algorithm. Experiments have been conducted to verify the proposed defect parameter estimation method by testing aluminum pipelines with cracks. The experimental results show that the estimation of defect parameters achieves an average accuracy (ACC) of more than 96.78% for various dimensions of cracks. © 1963-2012 IEEE.

Keyword:

Eddy current testing k-nearest neighbors Leak detection

Community:

  • [ 1 ] [Zeng, Huade]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 2 ] [Huang, Ruochen]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 3 ] [Xia, Zihan]The University of Manchester, Department of Electrical and Electronic Engineering, Manchester; M13 9PL, United Kingdom
  • [ 4 ] [Lin, Qiongbin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 5 ] [Yin, Wuliang]The University of Manchester, Department of Electrical and Electronic Engineering, Manchester; M13 9PL, United Kingdom

Reprint 's Address:

  • [huang, ruochen]fuzhou university, college of electrical engineering and automation, fuzhou; 350108, china

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Source :

IEEE Transactions on Instrumentation and Measurement

ISSN: 0018-9456

Year: 2025

Volume: 74

5 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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