Frequency component mixing of pulsed or multi-frequency eddy current testing for nonferromagnetic plate thickness measurement using a multi-gene genetic programming algorithm
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gp-bibliography.bib Revision:1.8081
- @Article{GE:2021:NEI,
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author = "Jiuhao Ge and Noritaka Yusa and Mengbao Fan",
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title = "Frequency component mixing of pulsed or
multi-frequency eddy current testing for
nonferromagnetic plate thickness measurement using a
multi-gene genetic programming algorithm",
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journal = "ND \& E International",
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volume = "120",
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pages = "102423",
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year = "2021",
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ISSN = "0963-8695",
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DOI = "doi:10.1016/j.ndteint.2021.102423",
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URL = "https://www.sciencedirect.com/science/article/pii/S0963869521000220",
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keywords = "genetic algorithms, genetic programming, Eddy current
testing, Gini coefficient, Linearity",
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abstract = "For the efficient use of frequency components, a
frequency mixed feature for pulsed eddy current testing
(PECT) or multi-frequency eddy current testing
(MultiECT) was proposed for nonferromagnetic plate
thickness measurement. An evolutionary algorithm
multigene genetic programming was employed to mix the
frequency components using the best linearity as a
target. Time domain and frequency domain finite element
simulations of PECT and MultiECT were conducted. The
simulation results revealed that, in terms of thickness
measurement, a mixed feature comprising two or three
frequencies was more linear and accurate than the
traditional peak time and decay coefficient of PECT.
Experiments were conducted to validate the results of
the simulations and to test the mixed feature in
aluminum plate thickness evaluations. The experimental
results also revealed that the use of more frequencies
did not always increase the accuracy of thickness
evaluations. Proper frequency component selection was
more efficient than blindly increasing frequency
numbers",
- }
Genetic Programming entries for
Jiuhao Ge
Noritaka Yusa
Mengbao Fan
Citations