Determining Feature Extraction Parameters for Pulsed Eddy Current Sensor: A Minimisation Problem Approach

Pulsed eddy current (PEC) is an electromagnetic non-destructive testing (NDT) technique mainly used to inspect corrosion in pipelines. Like many other NDT techniques, to quantify pipe wall thickness, a signal feature has to be extracted from the PEC response. The authors' previous work has expl...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2021-11, Vol.21 (22), p.26124-26131
Main Authors: Nafiah, Faris, Tokhi, Mohammad O., Shirkoohi, Gholamhossein, Duan, Fang, Zhao, Zhanfang, Rees-Lloyd, Owen
Format: Article
Language:English
Subjects:
Algorithms
Calibration
Configurations
Corrosion
Eddy current testing
Eddy currents
Feature extraction
Minimization
non-destructive testing
Nondestructive testing
Optimization
Parameters
particle swarm optimisation
Particle swarm optimization
Pulsed eddy current
Sensors
System theory
Systems theory
Wall thickness
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Pulsed eddy current (PEC) is an electromagnetic non-destructive testing (NDT) technique mainly used to inspect corrosion in pipelines. Like many other NDT techniques, to quantify pipe wall thickness, a signal feature has to be extracted from the PEC response. The authors' previous work has exploited the linear relationship of the time-derivative feature to propose an in-situ calibration routine. However, to extract the time-derivative feature, two configuration parameters need to be determined prior to feature extraction. To the authors' knowledge, none of the previous works explores the determining factors of this configuration parameters, where the current technique is still limited to using brute force method or trial-and-error. This paper brings novelty by formulating the aforementioned problem as a minimisation problem, and solving it using a particle swarm optimisation (PSO) algorithm. The obtained results, compared against brute force method, demonstrate the feasibility and performance improvement of using PSO in determining the configuration parameters. The approach thus presented is validated and the results obtained are justified by analysing the underlying physical system theory.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2021.3119466